When I talk about machine learning, what pops out of your brain? We are frequently asked about the distinction between training and testing data. So, we decided to explain it in detail through this blog. Understanding the disparity between these two data types and utilizing them appropriately is essential.



Knowing the difference between these two data types ensures that the machine-learning model is reliable, accurate, and effective.



Read more about AI and ML in software testing here: <a href="https://website.testsigma.com/blog/ai-and-ml-in-software-testing/" target="_blank" rel="noreferrer noopener">https://website.testsigma.com/blog/ai-and-ml-in-software-testing/</a>



<div class="wp-block-image"><figure class="aligncenter size-full is-resized"><img loading="lazy" src="https://s3.amazonaws.com/blog-assets-staging.testsigma.com/blogs/wp-content/uploads/image-153.png" alt="difference between training data and testing data" class="wp-image-34918" width="641" height="368" /></figure></div>



This blog post explores the primary purposes of training and testing data, the techniques used to prepare them, and the potential pitfalls that can arise when misusing them and about automation of the data.



<div id="toc_container" class="no_bullets">Table Of Contents<ul class="toc_list"><li><a href="#What_is_Training_Data">1 What is Training Data?</a></li><li><a href="#What_is_Testing_Data">2 What is Testing Data?</a></li><li><a href="#Why_do_we_need_training_and_testing_data">3 Why do we need training and testing data?</a></li><li><a href="#Why_Knowing_the_Difference_is_Important">4 Why Knowing the Difference is Important?</a></li><li><a href="#How_Training_and_Testing_Data_Work_with_Example">5 How Training and Testing Data Work with Example?</a></li><li><a href="#Training_Data_vs_Testing_Data">6 Training Data vs. Testing Data</a></li><li><a href="#How_are_Training_and_Testing_Data_used_in_Test_Automation_Tools">7 How are Training and Testing Data used in Test Automation Tools?</a></li><li><a href="#Conclusion">8 Conclusion</a></li><li><a href="#Frequently_Asked_Questions">9 Frequently Asked Questions</a><ul><li><a href="#How_can_you_improve_the_training_and_testing_data">9.1 How can you improve the training and testing data?</a></li><li><a href="#How_do_you_separate_training_and_test_data_sets">9.2 How do you separate training and test data sets?</a></li></ul></li></ul></div>
<h2 id="h-what-is-training-data">What is Training Data?</h2>



Do you know: The training data is always correct!



Machine learning algorithms learn from data in datasets. They find patterns in the data, develop an understanding of the data, make decisions based on the data, and evaluate the accuracy of their choices.



In machine learning, datasets are typically split into two subsets: training and testing data. The training data is used to train the machine learning algorithm. The testing data is used to evaluate the accuracy of the trained algorithm. The training data should represent the data the algorithm will encounter in the real world.&nbsp;



<h2 id="h-what-is-testing-data">What is Testing Data?</h2>



Testing data is like a box of chocolates. You never know what you&#8217;re going to get.



Once you have trained your machine learning model on a dataset, you must test it on unseen data to evaluate its performance. This unseen data is called the testing data. This is similar to the test data used in software testing, just the context is different here. In software testing, we use test data to ensure the software works well for given data. In machine learning, we use testing data to ensure the model works for the given testing data. The testing data should meet two criteria:



<ol><li>It should represent the actual dataset that the model will be used on. This means that the testing data should have the same distribution of features as the actual dataset.</li><li>It should be large enough to generate meaningful predictions. This means the testing data should be large enough to provide a statistically significant test of the model&#8217;s performance.</li></ol>



The testing data should be new, &#8220;unseen&#8221; data the model has not seen before. This is because the model will already have learned the patterns in the training data, so testing its ability to generalize to new data is essential.



The testing data can be used to evaluate the model&#8217;s accuracy, robustness, and fairness. It can also be used to identify areas where the model needs to be improved.



Splitting the data into 80% training data and 20% testing data is common in data science. This means that 80% of the data will be used to train the model, and 20% will be used to test the model.



<h2 id="h-why-do-we-need-training-and-testing-data">Why do we need training and testing data?</h2>



Here are some reasons why we need training and testing data in machine learning:



&#8220;Training data teaches a machine learning model how to behave while testing data evaluates how well the model has learned.&#8221;



1. Training data is used to teach the machine learning model how to make predictions or perform a desired task. It is typically labeled, which means that the model&#8217;s output is known for each data point. The model learns to identify the patterns in the data and make predictions based on those patterns.



Training data is like the textbook that a student uses to learn a new subject. The book contains the information the student needs to know, and the student learns by reading the text and doing the exercises.



2. Testing data is used to evaluate the machine learning model&#8217;s performance. It is typically different from the training data and not labeled. This means the model&#8217;s output is unknown for each data point. The model&#8217;s ability to make accurate predictions on the testing data is evaluated.



Testing data is like the test that a student takes to assess their knowledge of the subject. The test contains questions that the student needs to answer, and the student&#8217;s performance on the test is used to evaluate their understanding.



By using training and testing data, we can ensure that the model can make accurate predictions on new data it has not seen before.



<h2 id="h-why-knowing-the-difference-is-important">Why Knowing the Difference is Important?</h2>



The difference between training data and testing data is that training data tells you how to build a model, and testing data tells you how to break it.



The difference between training data and testing data is important because it helps to prevent the model from overfitting. Overfitting occurs when the model learns the training data too well and is unable to generalize to new data. This can happen if the training data is too small or if it is not representative of the real world.



By using a separate testing data set, the model can be evaluated on data that it has not seen before. This helps to ensure that the model is able to generalize to new data and make accurate predictions.



<h2 id="h-how-training-and-testing-data-work-with-example">How Training and Testing Data Work with Example?</h2>



Here is an example of Training Data:



If you train a model to classify images of flowers and fruits, the training data would consists of image labeled as &#8220;flowers&#8221; or &#8220;fruits.&#8221; The model would learn to identify the features distinguishing flowers from fruits by looking at the labeled data.



Good quality of the training data is essential for the machine learning model&#8217;s performance. If the data is not representative of the real world, the model cannot make accurate predictions. The data should also be large enough to allow the model to learn the patterns in the data. 



Properly selecting and preparing training data is necessary for machine learning. This can enhance the performance of your models and ensure their readiness for real-world applications.



Let us see an example for Testing Data:



If you train a model to classify images of flowers and fruits, the testing data would consist of images the model has yet to see. The model would be evaluated on its ability to classify these images correctly.



The testing data quality is essential for the machine learning model&#8217;s performance, The data should represent the real world and be large enough to evaluate the model thoroughly.



Lеt mе еxplain to you with another simplе еxamplе:&nbsp;



Take testing data for a machine learning model that is used to predict the price of houses. The training data might consist of historical data on <a href="https://goldlineremovals.com.au/house-prices-and-moving-into-inner-west-suburbs/" target="_blank" rel="noreferrer noopener">house prices</a>, such as the house size, the number of bedrooms, and the house&#8217;s location.



The testing data would consist of new data on house prices that the model has not seen before. The model would be evaluated on its ability to predict the prices of these houses.



<h2 id="h-training-data-vs-testing-data">Training Data vs. Testing Data</h2>



<figure class="wp-block-table"><table><tbody><tr><td>Feature&nbsp;</td><td>Training Data&nbsp;</td><td>Testing Data</td></tr><tr><td>Purpose</td><td>Training data is used to train the machine-learning model. The more training data the model has, the better it can make predictions.</td><td>Testing Data is used to evaluate the performance of the model.&nbsp;</td></tr><tr><td>Exposure&nbsp;</td><td>The model can learn from the training data and improve its predictions.</td><td>The testing data is not exposed to the model before evaluation. This ensures the model cannot memorize the testing data and make perfect predictions.</td></tr><tr><td>Distribution</td><td>The distribution of the training data should be similar to the distribution of the real-world data that the model will be used.&nbsp;</td><td>The distribution of the testing data is entirely different from the real-world data.</td></tr><tr><td>Use</td><td>Training data is used to prevent overfitting.&nbsp;</td><td>The testing data is used to evaluate the model&#8217;s performance by making predictions on it and comparing the predictions to the actual labels.</td></tr><tr><td>Size</td><td>The training data is typically larger. This is because the model needs to see many examples of input data to learn how to make accurate predictions.</td><td>The size of the testing data is typically smaller than the training data because the testing data is used to evaluate the performance of the model that has been trained on the training data.</td></tr></tbody></table></figure>



<h2 id="h-how-are-training-and-testing-data-used-in-test-automation-tools">How are Training and Testing Data used in Test Automation Tools?</h2>



No wonder Training and Testing data are used in <a href="https://website.testsigma.com/blog/automation-testing-tools/">Test automation tools</a>. This is to improve the accuracy and reliability of the tests.



Training data is used to train the test automation tool on the specific application or system that is being tested. This helps the tool to learn the expected behavior of the application and to identity any potential defects.



Testing data is used to evaluate the performance of the test automation tool. This helps to ensure that the tool is able to find defects and that it is not overfitting to the training data.



Here are some simple explanations of how training and testing data are used in test automation tools:



<ul><li>Training data teaches the test automation tool how to interact with the application or system under test. It should represent the real world and large enough to allow the tool to learn the patterns in the application&#8217;s behavior.</li><li>Testing data is used to evaluate the performance of the test automation tool. It should be different from the training data and not labeled. This ensures that the tool is balanced with the training data and can find defects in new data.</li></ul>



By using training and testing data, you can build test automation tools that are more accurate and reliable.



<h2 id="h-conclusion">Conclusion</h2>



As Andrew Ng said, &#8220;The training data is the food for the model, and the testing data is the dessert.&#8221;



Training data and Testing data are the most essential to understand to build accurate and reliable machine-learning models. By carefully selecting and preparing the data, you can improve your models&#8217; performance and ensure they are ready for real-world use.



<h2 id="h-frequently-asked-questions">Frequently Asked Questions</h2>



<h3 id="h-how-can-you-improve-the-training-and-testing-data">How can you improve the training and testing data?</h3>



<p id="h-improving-the-training-and-testing-data-can-be-done-by-increasing-the-diversity-of-the-data-sources-and-by-carefully-selecting-and-preprocessing-the-data-to-remove-any-biases-or-noise-also-incorporating-data-augmentation-techniques-can-help-generate-more-varied-and-representative-examples-for-training-and-testing">Improving the training and testing data can be done by increasing the diversity of the data sources and by carefully selecting and preprocessing the data to remove any biases or noise. Also, incorporating data augmentation techniques can help generate more varied and representative examples for training and testing.



<h3 id="h-how-do-you-separate-training-and-test-data-sets">How do you separate training and test data sets?</h3>



To separate training and <a href="https://en.wikipedia.org/wiki/Training,_validation,_and_test_data_sets" target="_blank" rel="noreferrer noopener">test data sets</a>, you can randomly split the data into two sets using a specific ratio, such as 70% for training and 30% for testing.

Top difference between training data and testing data

Test Scope for Software Testing What it is & How to Create

Test Scope for Software Testing | What it is & How to Create

What is Volume Testing How to Perform & Best Practices

What is Volume Testing | How to Perform & Best Practices

&#8220;The never-ending debate: Is it a bug or a feature?&#8221;&nbsp;



Identifying and fixing engineering defects, particularly in software development, is essential. An efficient way to ensure top-quality products is to track defects and assign them to the appropriate engineers for resolution. Defect tracking in software testing is an essential process you need to know about!



Defect-tracking systems streamline this process by logging defects, monitoring progress, and generating insightful reports. This important aspect of software quality assurance helps prevent expensive issues and improves efficiency and accuracy.



Let us read more in this blog!



<div id="toc_container" class="no_bullets">Table Of Contents<ul class="toc_list"><li><a href="#What_is_Defect_Trackingnbsp">1 What is Defect Tracking?&nbsp;</a></li><li><a href="#Why_is_Defect_Tracking_Requirednbsp">2 Why is Defect Tracking Required?&nbsp;</a></li><li><a href="#Objectives">3 Objectives</a></li><li><a href="#Key_features">4 Key features</a></li><li><a href="#Defect_tracking_Parameters">5 Defect tracking Parameters</a></li><li><a href="#How_to_Design_a_Defect_Tracking_SystemProcess">6 How to Design a Defect Tracking System/Process?</a></li><li><a href="#How_does_Defect_TrackingBug_Tracking_Work">7 How does Defect Tracking/Bug Tracking Work?</a></li><li><a href="#Challenges">8 Challenges</a></li><li><a href="#Conclusion">9 Conclusion</a></li><li><a href="#Frequently_Asked_Questions">10 Frequently Asked Questions</a><ul><li><a href="#What_is_defect_logging_and_tracking">10.1 What is defect logging and tracking?</a></li><li><a href="#What_is_the_defect_tracking_life_cycle">10.2 What is the defect tracking life cycle?</a></li></ul></li></ul></div>
<h2 id="h-what-is-defect-tracking">What is Defect Tracking?&nbsp;</h2>



Defect tracking, aka Bug tracking, is the systematic process of identifying, recording, monitoring, and managing defects or issues in a product or system throughout its development lifecycle. These defects can encompass various aspects, including software bugs, hardware malfunctions, design flaws, or other imperfections that may hinder the product&#8217;s functionality, performance, or quality.



<div class="wp-block-image"><figure class="aligncenter size-full"><img loading="lazy" width="807" height="523" src="https://s3.amazonaws.com/blog-assets-staging.testsigma.com/blogs/wp-content/uploads/image-156.png" alt="Defect tracking" class="wp-image-35000"/></figure></div>



<h2 id="h-why-is-defect-tracking-required">Why is Defect Tracking Required?&nbsp;</h2>



A defect tracker is like a digital journal that records all the problems or errors in a product or project. It&#8217;s like having a list of everything that&#8217;s not working correctly.&nbsp;



Here&#8217;s why it&#8217;s important and how it works:



<ol><li>Preventing Errors from Being Missed: Imagine you&#8217;re building a house, and there are many different parts to it—plumbing, electrical, walls, and so on. If you don&#8217;t keep a list of every issue you discover (like a leaky faucet or a cracked wall), you might forget to fix some of them. A defect tracker is like that list; it ensures that every problem, or &#8220;defect,&#8221; is written down so that none of them are missed.</li></ol>



<ol start="2"><li>Saving Time: When building something or creating a project, you want to avoid checking the same things repeatedly. That&#8217;s not only frustrating but also a waste of time. A defect tracker helps with this by tracking what issues have already been fixed. It&#8217;s like putting a checkmark next to a problem once it&#8217;s solved. This way, you don&#8217;t have to keep looking at the same issues, and you can focus on what still needs to be fixed.</li></ol>



<ol start="3"><li>Working on the Right Problems: Sometimes, there are so many issues that it can be overwhelming. Imagine you have a pile of homework and need help figuring out where to start.&nbsp;</li></ol>



A defect tracker helps you decide what&#8217;s most important. It can categorize the problems based on how severe they are. For example, a major issue like a broken door is more important to fix than a small scratch on the wall. So, it helps ensure that the correct problems are being worked on first.



Let me put it all in simple terms: A defect tracker is like a to-do list for fixing problems in a project. It ensures that everything is remembered, keeps track of what&#8217;s already set, and helps you focus on the most important issues. This way, you can build or create things more efficiently and ensure they work as they should.



<h2 id="h-objectives">Objectives</h2>



Here are some objectives of defect tracking:



<ol><li>Keeping Track of All Defects: Imagine you have a notebook where you write down every mistake you find in your homework. Bug tracking is like that notebook for software. It ensures that every little error or &#8220;defect&#8221; is written down so none are forgotten. This is super important because missing a defect could cause problems later when people use the software.</li></ol>



<ol start="2"><li>Finding the Best Solutions and Preventing More Defects: Once you&#8217;ve written down all the defects, it&#8217;s like having a list of things to fix. But it&#8217;s not just about setting them; it&#8217;s also about figuring out the best way. Think of it as having a guide telling you the smartest way to solve a problem. Plus, it helps you learn from your mistakes and prevent similar issues from happening again. It&#8217;s like learning not to spill your juice after you&#8217;ve cleaned up a spill once.</li></ol>



<ol start="3"><li>Saving Time and Doing Better Work: Imagine you&#8217;re building a puzzle. If you keep looking for the same piece repeatedly, it will take forever to finish the puzzle. Defect tracking ensures you don&#8217;t waste time looking at the same problems repeatedly. It&#8217;s like having a helper who says, &#8220;You&#8217;ve already solved that part; now let&#8217;s work on the parts that still need fixing.&#8221; This saves time and helps you do a better job because you can focus on what&#8217;s most important.</li></ol>



Tracking software defects saves time and improves quality. It&#8217;s like having a superhero assistant to find solutions and avoid repeating mistakes. Get superpowers for better software!



<h2 id="h-key-features">Key features</h2>



Here are some key features listed below:



<ul><li>Effective communication: Defect tracking is a team effort, so it is essential to have effective communication between all stakeholders. This includes the developers, testers, and managers.</li><li>Proper documentation: All defects should be properly documented, including the steps to reproduce the defect, the severity of the defect, and the impact of the defect. This documentation will help the developers to fix the defects quickly and efficiently.</li><li>Regular reporting: Defect tracking should be a continuous process. Regularly reporting defects&#8217; status will help identify any trends or patterns. This information can be used to improve the defect tracking process and to prevent defects from occurring in the future.</li><li>Prioritization: Not all defects are created equal. Some defects are more critical than others. It is essential to prioritize defects so that the most critical defects are fixed first.</li><li>Tracking of defects: It is important to track the progress of defects. This includes tracking the status of the defect, the assigned engineer, and the estimated time to fix the defect. This tracking information will help to ensure that defects are fixed on time.</li><li>Resolution of defects: The goal of is to resolve defects. This means that the defect should be fixed, and the fix should be verified.</li><li>Continuous improvement: Defect tracking is an ongoing process. It is essential to improve the defect-tracking process continuously. This can be done by identifying and addressing gaps or weaknesses in the process.</li></ul>



By following these key factors, you can effectively track defects and ensure the quality of your software.



<h2 id="h-defect-tracking-parameters">Defect tracking Parameters</h2>



Defect tracking parameters are the attributes that are used to track defects. These parameters can be used to identify, prioritize, and manage defects.



Some of the common defect-tracking parameters include:



<ul><li>ID: A unique identifier for each defect.</li><li>Title: A brief description of the defect.</li><li>Description: A precise description of the defect, including the steps to reproduce the defect.</li><li>Severity: The severity of the defect, such as critical, major, or minor.</li><li>Priority: The priority of the defect, such as high, medium, or low.</li><li>Status: The status of the defect, such as open, closed, or deferred.</li><li>Assigned to: The engineer who is assigned to fix the defect.</li><li>Due date: The date by which the defect should be fixed.</li><li>Comments: Any comments about the defect.</li></ul>



What you are looking at are just some of the common defect-tracking parameters. These parameters can vary depending on the project and the team&#8217;s needs.



<h2 id="h-how-to-design-a-defect-tracking-system-process">How to Design a Defect Tracking System/Process?</h2>



Here are the steps on how to design a defect-tracking system/process:



<ol><li>Define the goals of the defect tracking system. What do you want to achieve with the defect-tracking system? Do you want to track, prioritize, manage, or generate reports on defects?</li><li>Identify the stakeholders. Who will be using the defect tracking system? Will it be used by developers, testers, managers, or other stakeholders?</li><li>Define the parameters. What information will be tracked about each defect? This could include the defect ID, title, description, severity, priority, status, assigned to, due date, and comments.</li><li>Select a defect tracking tool. There are many defect-tracking tools available. Pick a tool that meets the needs of your project and team.</li><li>Configure the <a href="https://website.testsigma.com/blog/defect-tracking-tools/" target="_blank" rel="noreferrer noopener">defect tracking tool</a>. Once you have selected a defect-tracking tool, you need to configure it to meet the needs of your project. This includes setting up the defect tracking parameters and defining the workflows for defect submission, prioritization, and management.</li><li>Train the users. Once the defect tracking system is in place, you must train the users to use it. This includes how to submit defects, prioritize defects, manage defects, and generate reports.</li><li>Monitor and improve the defect tracking system. Once the system is used, you must monitor it to ensure it meets your project&#8217;s needs. This includes identifying gaps or weaknesses in the system and making necessary improvements.</li></ol>



Let me whisper to you some more extra tips for designing a defect-tracking system/process:



<ul><li>Make sure the system is easy to use and navigate.</li><li>Let users customize the system to meet their specific needs.</li><li>Integrate the system with other tools and systems, such as version control and build automation tools.</li><li>Automate as much of the process as possible.</li><li>Provide regular reports on the status of defects.</li><li>Continuously improve the system based on feedback from users.</li></ul>



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By following these steps, you can design a defect-tracking system/process that will help you improve the quality of your software.



<h2 id="h-how-does-defect-tracking-bug-tracking-work">How does Defect Tracking/Bug Tracking Work?</h2>



A defect tracking or monitoring tool keeps track of all the defects in an application to ensure all errors get noticed during the evaluation process. However, to understand how the tracking is helping improve the quality of software, it is crucial to know how defect tracking functions.



It initiates with the bug-tracking software, maintaining a database of all reported bugs on a central server. These bugs are then categorized based on the software company&#8217;s criteria. Depending on the severity of the error, each bug is prioritized, and further action is taken to resolve it.



<h2 id="h-challenges">Challenges</h2>



Defect tracking is the process of identifying, documenting, and managing defects in software. It is an important part of the software development process, as it helps to ensure that software is released with a high level of quality.



Yet, defect tracking can be challenging. Here are some of the most common challenges:



<ul><li>Only complete or accurate defect reports: Defect reports needing more essential details or inaccuracies can make tracking and managing defects difficult. Clear and precise reporting is necessary for efficient defect resolution.</li><li>Poor communication: Inadequate communication among stakeholders can result in defects being overlooked or left unresolved for extended periods. Effective collaboration and information sharing are vital to ensure timely defect fixes.</li><li>Inefficient workflow: An inefficient workflow can lead to delays in defect resolution and even result in some defects slipping through the cracks. Streamlining processes is key to preventing such issues.</li><li>Lack of automation: Relying on manual defect tracking processes can be time-consuming and lead to errors. Automation tools can significantly improve efficiency and accuracy in defect tracking.</li><li>Limited visibility: With clear visibility into defects&#8217; status, monitoring progress and identifying emerging patterns or trends becomes easier. Robust reporting and tracking mechanisms are essential for better visibility.</li><li>Ownership ambiguity: When defects lack clear ownership or responsibility, they may be addressed. Assigning ownership ensures accountability and timely resolution.</li><li>Production defects: <a href="https://website.testsigma.com/blog/defect-escape/" target="_blank" rel="noreferrer noopener">Defects that escape</a> into the production environment can disrupt user experiences and tarnish the software&#8217;s reputation. Rigorous testing and proactive <a href="https://website.testsigma.com/blog/defect-management/" target="_blank" rel="noreferrer noopener">defect management</a> are essential to prevent production issues.</li></ul>



Let me give you some bonuses for overcoming these challenges:



<ul><li>Use a defect tracking tool: A defect tracking tool can help to automate the tracking process and improve accuracy.</li><li>Define clear defect reporting guidelines: Clear defect reporting guidelines will help to ensure that defect reports are complete and accurate.</li><li>Establish a communication plan: This will help to ensure that stakeholders are kept informed of the status of defects.</li><li>Regularly review the defect tracking process: Regularly reviewing the process will help identify and address any gaps or weaknesses.</li><li>Train the users: Training the users on how to use the defect tracking system will help ensure the system is used effectively.</li></ul>



These tips will help you crush the challenges of defect tracking and ensure the quality of your software.



 <button class="btn bg-primary cta-btn" style="margin: auto"><a href="https://website.testsigma.com/signup" target="_blank" rel="noopener noreferrer" style="color:#fff">Automate your tests for web, mobile, desktops and APIs from the same place, and connect to the defect tracking tool for your choice with Testsigma</a></button> 



<h2 id="h-conclusion">Conclusion</h2>



Time to wind up!



It&#8217;s essential to keep a detailed record of defects and carefully track their progress for any software project. With the help of test engineers, defects can be identified and addressed early on, preventing potential losses in revenue and ensuring customer satisfaction. Their role is truly essential!



<h2 id="h-frequently-asked-questions">Frequently Asked Questions</h2>



<h3 id="h-what-is-defect-logging-and-tracking">What is defect logging and tracking?</h3>



Defect logging is the process of identifying and documenting software defects. This includes capturing the defect&#8217;s description, severity, and steps to reproduce.



Defect tracking is the process of managing defects from identification to resolution. This includes prioritizing defects, assigning them to developers, and tracking their progress.



<h3 id="h-what-is-the-defect-tracking-life-cycle">What is the defect tracking life cycle?</h3>



The defect life cycle (DLC), or the <a href="https://www.tutorialspoint.com/software_testing_dictionary/defect_life_cycle.htm" target="_blank" rel="noreferrer noopener">bug life cycle</a>, is the sequence of stages a defect or bug goes through in its lifetime. It can vary from organization to organization and project to project, as it is governed by the software testing process and the tools used.

Defect Tracking in Software Testing What it is and Why

Defect Tracking in Software Testing: What it is and Why?

Test coverage metrics ensure that every part of the software is tested, ensuring reliability and quality. These metrics also help identify areas that need more attention and improve software performance and user experience.



In this blog, we will discuss test coverage metrics from different perspectives.



<div id="toc_container" class="no_bullets">Table Of Contents<ul class="toc_list"><li><a href="#Test_Coverage_Metrics_in_Software_Testing">1 Test Coverage Metrics in Software Testing</a></li><li><a href="#Test_Coverage_Metrics_in_Agile_Testing_Approach">2 Test Coverage Metrics in Agile Testing Approach</a></li><li><a href="#Test_Coverage_Metrics_from_a_Practical_Perspective">3 Test Coverage Metrics from a Practical Perspective</a></li><li><a href="#Continuous_Improvement_Through_Test_Metrics">4 Continuous Improvement Through Test Metrics</a></li><li><a href="#Summary">5 Summary</a></li><li><a href="#Frequently_Asked_Questions">6 Frequently Asked Questions</a><ul><li><a href="#What_are_the_three_metrics_in_testing">6.1 What are the three metrics in testing?</a></li><li><a href="#What_are_the_most_essential_test_metrics">6.2 What are the most essential test metrics?</a></li></ul></li></ul></div>
<h2 id="h-test-coverage-metrics-in-software-testing">Test Coverage Metrics in Software Testing</h2>



1. Functional Coverage:



Functional coverage measures the extent to which all functional requirements of a software application have been tested. It ensures that all features and functionalities specified in the requirements are tested. This metric helps identify gaps or missing functionalities that must be addressed before releasing the software.&nbsp;



For example,



Software application: Online banking website



To ensure functional coverage of an online banking website, the following features and functionalities should be tested:



<ul><li>Login and logout: Users should be able to log in and out of their accounts using their username and password.</li><li>Account management: Users should be able to view their account balances, transaction history, and other account information. They should also be able to update their personal information and security settings.</li><li>Funds transfer: Users should be able to transfer money between their accounts and to other accounts within the same bank or at other banks.</li><li>Bill pay: Users should be able to schedule and pay bills electronically.</li><li>Check deposit: Users can deposit checks remotely using their smartphone or computer.</li><li>Customer support: Users should have access to customer support through various channels, such as phone, email, and live chat.</li></ul>



2. Product Coverage:



Product coverage focuses on testing different aspects of the software product. It includes various dimensions such as user interfaces, hardware configurations, operating systems, browsers, and databases. By covering different combinations of these dimensions, testers can ensure the software works across various environments.&nbsp;



For example,



Software application: Web application



Product coverage dimensions:



<ul><li>User interfaces: Desktop and mobile versions</li><li>Operating systems: Windows, Mac, and Linux</li><li>Browsers: Chrome, Safari, and Firefox</li><li>Databases: MySQL and PostgreSQL</li></ul>



By executing test cases covering the above dimensions, testers can ensure that the web application works on many devices, operating systems, browsers, and database connections.



3. Test Execution Coverage:



<a href="https://website.testsigma.com/blog/test-execution/" target="_blank" rel="noreferrer noopener">Test execution</a> coverage is an essential aspect of software testing. It examines different combinations of user interfaces, hardware configurations, operating systems, browsers, and databases. By conducting tests across various environments, testers can identify potential issues or bugs.&nbsp;



Later, they can ensure that the software functions for all users. This whole approach to testing helps enhance the software&#8217;s quality and reliability.&nbsp;



By executing all test cases on all supported environments, testers can be confident that the mobile app will work for all users.



4. Requirements Coverage:



By thoroughly testing the software in different scenarios and environments, testers can ensure that all the required functionalities and features work as intended, providing a seamless user experience.&nbsp;



For example,



Here is how testers can ensure requirements coverage for an online banking website:



Requirement: Users must be able to transfer money between their accounts.



<ul><li>Users must be able to view their account balance and transaction history.</li><li>Users must be able to pay bills online.</li><li>Users must be able to deposit checks online.</li><li>Users must be able to set up recurring transfers and payments.</li><li>Users must be able to receive alerts for account activity.</li><li>Users must be able to dispute charges.</li><li>Users must be able to contact customer support for assistance.</li></ul>



Testers should execute test cases that cover all of the requirements(functional and non-functional.) for the online banking website, such as performance, security, and usability.&nbsp;



This will ensure sufficient requirement coverage for the online banking website.



5. Risk coverage:&nbsp;



By conducting thorough testing, testers can identify and mitigate potential risks associated with this software. This includes identifying vulnerabilities, security loopholes, and potential system failures that could threaten the software&#8217;s performance and user data.&nbsp;



By addressing these risks, testers can enhance their software&#8217;s reliability and security, ensuring a safe and trustworthy user experience.&nbsp;



For example,



Software application: Online banking website



Risks:



<ul><li>Security vulnerabilities</li><li>Fraudulent transactions</li><li>System outages</li></ul>



By executing <a href="https://website.testsigma.com/guides/what-is-test-case/" target="_blank" rel="noreferrer noopener">test cases</a> related to these risks, testers can ensure risk coverage.



<h2 id="h-test-coverage-metrics-in-agile-testing-approach"><a href="https://website.testsigma.com/blog/test-coverage/" target="_blank" rel="noreferrer noopener">Test Coverage</a> Metrics in Agile Testing Approach</h2>



In Agile testing, measuring how thorough the testing process has been for every iteration is essential. By using test coverage metrics in Agile, teams can ensure that all of the code and functionality are tested and that the software is ready for release for every iteration/sprint.



<h2 id="h-test-coverage-metrics-from-a-practical-perspective">Test Coverage Metrics from a Practical Perspective</h2>



So far, we have seen how vital these metrics are in testing. They enable testers to evaluate the effectiveness of test cases by determining the extent to which the application&#8217;s code or functionality has been tested. By providing insights into the thoroughness and completeness of testing efforts, these metrics are invaluable for making informed decisions.&nbsp;



They help identify areas that require additional testing, reduce the risk of undetected defects, and prioritize testing by focusing on critical areas with low test coverage.&nbsp;



Tracking these metrics over time enables teams to monitor progress and ensure enough coverage is achieved before software release. These metrics serve as a guidepost for evaluating the quality of software testing processes and instilling confidence in the software product.



<h2 id="h-continuous-improvement-through-test-metrics">Continuous Improvement Through Test Metrics</h2>



Improving software development and test metrics is essential. Test metrics provide helpful feedback and insight into the quality of software products, allowing teams to identify areas that need improvement.&nbsp;



By measuring and analyzing test metrics, teams can get a clear picture of the effectiveness of their testing efforts. They can also identify trends and make data-driven decisions to improve the quality of their products.&nbsp;



Test metrics include data points such as test coverage, defect density, and test execution time. By analyzing these metrics, teams can identify areas of the applications more prone to defects and find ways to increase testing efforts.&nbsp;



Continuous improvement through test metrics helps teams simplify training processes, optimize resources, and deliver higher-quality software products to customers.&nbsp;



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<h2 id="h-summary">Summary</h2>



To ensure software quality, use test coverage metrics to identify areas that need more testing and establish achievable objectives. Continuously monitor and adjust these metrics to meet rigorous standards for dependability.&nbsp;



<h2 id="h-frequently-asked-questions">Frequently Asked Questions</h2>



<h3 id="h-what-are-the-three-metrics-in-testing">What are the three metrics in testing?</h3>



There are three categories of metrics used for software testing:



1. Process Metrics: These are quantitative measures used to assess the efficiency of a process based on factors such as speed, time, and resource utilization. Managers can analyze these metrics and establish new guidelines for the given phase.



2. Product Metrics: These measures evaluate the quality, size, performance, and efficiency of the tested product.



3. Project Metrics: Metrics used to assess the quality and productivity of the project, as well as the utilization of resources, cost, and time, fall under project metrics.



<h3 id="h-what-are-the-most-essential-test-metrics">What are the most essential test metrics?</h3>



Test metrics are essential for evaluating software testing. By monitoring metrics like test coverage, defect density, and execution time, teams can identify areas for improvement and maintain high quality.&nbsp;



However, not all metrics are equally important, so choosing the right ones is crucial for informed decision-making and better testing.

Test Coverage Metrics - A Complete Overview

Test Coverage Metrics – A Complete Overview

Internationalization testing, a crucial aspect of software testing, is a critical stage in software development that guarantees an application or website can run properly across multiple language and cultural situations.&nbsp;



Understanding what internationalization testing in software testing and how to do it is critical in an increasingly linked world where digital goods have a worldwide reach. Beyond language translation, this testing procedure dives into numerous areas of user experience, such as date formats, currency symbols, and text encoding. This enables a smooth and culturally sensitive interaction for users globally.&nbsp;



In this post, we will look at the importance of internationalization testing in software testing as well as recommended practices and approaches.



<div id="toc_container" class="no_bullets">Table Of Contents<ul class="toc_list"><li><a href="#What_is_Internationalization_Testing">1 What is Internationalization Testing?</a></li><li><a href="#nbspWhy_do_we_do_the_internationalization_testing">2 &nbsp;Why do we do the internationalization testing?</a></li><li><a href="#nbspInternationalization_Testing_Scenario_Example">3 &nbsp;Internationalization Testing Scenario Example</a></li><li><a href="#Internationalization_Testing_Scope_for_Test_Automation">4 Internationalization Testing: Scope for Test Automation</a></li><li><a href="#nbspChallenges_of_Internationalization_Testing">5 &nbsp;Challenges of Internationalization Testing</a></li><li><a href="#Best_Practices_for_Internationalization_Testing">6 Best Practices for Internationalization Testing</a></li><li><a href="#Internationalization_Testing_Checklists">7 Internationalization Testing Checklists:</a></li><li><a href="#Conclusion">8 Conclusion</a></li><li><a href="#Frequently_Asked_Questions">9 Frequently Asked Questions</a><ul><li><a href="#What_are_the_major_activities_in_internationalization_testingnbsp">9.1 What are the major activities in internationalization testing?&nbsp;</a></li></ul></li></ul></div>
<h2 id="h-what-is-internationalization-testing">What is Internationalization Testing?</h2>



Internationalization Testing, also known as &#8220;I18n Testing,&#8221; is an important stage in software development that focuses on ensuring that an application or software product is designed and developed in such a way that it can function effectively and seamlessly across diverse international markets and cultural contexts.&nbsp;



This sort of testing seeks to make software adaptive and accommodating to different languages, geographies, and cultural preferences without modifying the code. It goes beyond simple text translation to ensure that the program appropriately handles changes in date formats, currency symbols, character encodings, and other locale-specific features.&nbsp;



Internationalization Testing essentially provides the groundwork for localization, allowing the program to be readily adjusted for certain areas and languages in the future.



<h2 id="h-why-do-we-do-the-internationalization-testing">&nbsp;Why do we do the internationalization testing?</h2>



Commencing with internationalization testing is imperative as it ensures that a software application transcends linguistic and cultural boundaries, ensuring accessibility and user-friendliness for a global audience.&nbsp;



This meticulous testing process allows organizations to proactively detect and rectify potential issues related to language support, date and time formats, currency handling, and other locale-specific elements.&nbsp;



This proactive approach not only enhances the user experience but also streamlines the subsequent localization efforts, conserving valuable resources and expanding the software&#8217;s reach to a more diverse user base.



<h2 id="h-internationalization-testing-scenario-example">&nbsp;Internationalization Testing Scenario Example</h2>



Imagine a scenario where a multinational e-commerce platform wants to expand its services into diverse international markets. In the process of internationalization testing, they discover that their software supports only English language and US date formats. Through <a href="https://www.google.com/intl/en_in/search/howsearchworks/how-search-works/rigorous-testing/" target="_blank" rel="noreferrer noopener">rigorous testing</a>, they identify and rectify issues, ensuring that the platform seamlessly adapts to various languages, currencies, date formats, and cultural nuances. As a result, users from different regions can now browse and make purchases comfortably, increasing the platform&#8217;s global appeal and revenue potential.



<h2 id="h-internationalization-testing-scope-for-test-automation">Internationalization Testing: Scope for Test Automation</h2>



Because of its vast scope&nbsp;incorporating different languages, cultures, and regions, internationalization testing gives an ideal opportunity for test automation. The substantial test cases necessary to check <a href="https://website.testsigma.com/blog/globalization-testing-vs-localization-testing/" target="_blank" rel="noreferrer noopener">internationalization capabilities</a> such as language support, date and time formats, currency management, and character encoding across several locales may be handled quickly using test automation tools.&nbsp;



Automation not only speeds up testing, but it also provides consistency and accuracy in determining how effectively software adapts to various global situations. However, it is critical to find a balance by combining automated and manual testing to account for subjective factors such as cultural sensitivity and provide full internationalization testing.



<h2 id="h-challenges-of-internationalization-testing">&nbsp;Challenges of Internationalization Testing</h2>



Challenges in Internationalization Testing include:



<ul><li>Multilingual Content Handling: Testing with multiple languages can be complex, as different languages have varying text lengths, character sets, and writing directions. Ensuring proper rendering and functionality across languages is a significant challenge.</li></ul>



<ul><li>Locale-Specific Formats: Handling date, time, and numeric formats specific to each locale can be challenging. Testers need to verify that the application displays these formats correctly based on the user&#8217;s location.</li></ul>



<ul><li>Cultural Sensitivity: It is crucial to ensure that the application is culturally sensitive and does not unintentionally offend or misrepresent cultural norms in different regions. This requires thorough testing of content and imagery.</li></ul>



<ul><li>Right-to-Left (RTL) Languages: RTL languages like Arabic and Hebrew pose unique challenges in terms of layout and alignment. Testing to ensure correct text display and UI alignment is essential.</li></ul>



<ul><li>Content Expansion: When transitioning from a single language to multiple languages, text expansion or contraction can affect the layout. Ensuring that the user interface remains visually appealing and functional can be a significant challenge, particularly for responsive designs.</li></ul>



<h2 id="h-best-practices-for-internationalization-testing">Best Practices for Internationalization Testing</h2>



Here are some best practices for Internationalization Testing:



<ul><li>Early Planning: Start internationalization testing as early as possible in the development process to address issues before they become entrenched in the codebase.</li></ul>



<ul><li>Locale Coverage: Test across a wide range of locales to ensure comprehensive coverage. Focus on high-priority markets and regions where your software will be used most.</li></ul>



<ul><li>Content Separation: Keep content separate from code by using resource files or content management systems. This makes it easier to swap out content for different languages and locales.</li></ul>



<ul><li>Unicode Support: Ensure full Unicode support in your application to handle characters from various scripts and languages.</li></ul>



<ul><li>Date and Time Handling: Test how your application handles date and time formats, including time zones, and ensure consistency across locales.</li></ul>



<ul><li>Currency and Numeric Formats: Verify that the software correctly displays currency symbols, decimal separators, and thousands separators according to each locale&#8217;s conventions.</li></ul>



<ul><li>Right-to-Left (RTL) Languages: Test for RTL languages by checking text alignment, layout, and UI elements to ensure proper rendering.</li></ul>



<ul><li><a href="https://website.testsigma.com/blog/localization-testing/" target="_blank" rel="noreferrer noopener">Localization Testing:</a> After internationalization testing, conduct localization testing to validate translations, cultural sensitivity, and usability in specific regions.</li></ul>



<h2 id="h-internationalization-testing-checklists">Internationalization Testing Checklists:</h2>



Here is an internationalization testing checklist:



<ol><li>Language Support:</li></ol>



<ul><li>Confirm support for multiple languages and scripts.</li><li>Verify that text is displayed accurately without truncation or overlapping.</li></ul>



<ol start="2"><li>Date and Time Handling:</li></ol>



<ul><li>Check date and time formats for different locales.</li><li>Validate correct time zone adjustments.</li></ul>



<ol start="3"><li>Currency and Numeric Formats:</li></ol>



<ul><li>Ensure proper display of currency symbols, decimal points, and thousands of separators.</li><li>Verify alignment of numeric values.</li></ul>



<ol start="4"><li>Character Encoding:</li></ol>



<ul><li>Test for handling diverse character encodings, especially in input fields and data storage.</li></ul>



<ol start="5"><li>Layout and UI Consistency:</li></ol>



<ul><li>Confirm consistent layout and user interface elements across languages and locales.</li><li>Check for any text expansion/contraction issues.</li></ul>



<h2 id="h-conclusion">Conclusion</h2>



In conclusion, internationalization testing plays a pivotal role in the global software landscape by ensuring that applications and websites can seamlessly adapt to diverse languages, cultures, and regions. By rigorously assessing language support, date and time formats, currency handling, character encoding, and cultural sensitivity, organizations can not only expand their reach to a worldwide audience but also enhance user satisfaction and comply with regional regulations. Embracing the best practices and checklists outlined in this process empowers software developers to create products that are truly inclusive, respectful of cultural nuances, and capable of thriving in an increasingly interconnected global marketplace.



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<h2 id="h-frequently-asked-questions">Frequently Asked Questions</h2>



<h3 id="h-what-are-the-major-activities-in-internationalization-testing">What are the major activities in internationalization testing?&nbsp;</h3>



Major activities during Internationalization testing include:&nbsp;



<ul><li>Testing for supported languages in display</li><li>Testing for date and time handling for different locales</li><li>Testing for currency and numeric formats for different regions</li><li>Testing for handling of diverse character encodings in input fields and data storge</li><li>Testing for layout and UI consistency in all supported languages and locales</li></ul>

Internationalization Testing What it is & how to perform

Internationalization Testing | What it is & how to perform?

Modern software includes a large amount of software components, and it makes the software system complex. As the system gets complicated, it is difficult to understand the product over a period of time, and it introduces a lot of risks. Software Architecture streamlines the process by arranging all components in way that they are easy to understand and execute.



Unlike development, the software testing teams might lack test architects, which will result in poor test planning, design, and strategies. Furthermore, it can increase the chances of the system failing when it is released.&nbsp;



The software testing industry is learning from its mistakes and slowly the testing team has started to appoint software test architects to design powerful test architecture in terms of security, performance, functionality usage, etc.



<div id="toc_container" class="no_bullets">Table Of Contents<ul class="toc_list"><li><a href="#What_is_Test_Architecture">1 What is Test Architecture?</a></li><li><a href="#What_does_Test_Architecture_take">2 What does Test Architecture take?</a></li><li><a href="#History_of_Test_Architecture">3 History of Test Architecture</a></li><li><a href="#Why_create_test_architecturenbsp">4 Why create test architecture?&nbsp;</a></li><li><a href="#What_is_the_role_of_the_test_architect">5 What is the role of the test architect?</a></li><li><a href="#Test_architecture_explained_with_an_example">6 Test architecture explained with an example</a><ul><li><a href="#Test_Pyramid">6.1 Test Pyramid</a></li><li><a href="#Responsibilities">6.2 Responsibilities</a></li><li><a href="#Tools_and_Infrastructure">6.3 Tools and Infrastructure</a></li><li><a href="#Testing_process">6.4 Testing process</a></li></ul></li><li><a href="#Test_Architecture_and_Test_Automation">7 Test Architecture and Test Automation</a></li><li><a href="#Frequently_Asked_Questions">8 Frequently Asked Questions</a><ul><li><a href="#What_is_the_project_architecture_for_testing">8.1 What is the project architecture for testing?</a></li><li><a href="#nbspIsn8217t_Test_Architecture_similar_to_Test_Planningnbsp">8.2 &nbsp;Isn&#8217;t Test Architecture similar to Test Planning?&nbsp;</a></li></ul></li></ul></div>
<h2 id="h-what-is-test-architecture">What is Test Architecture? </h2>



Test architecture is the concrete level of guidelines and recommendations to how and when to test based on the system, complexity, environment, and testing tools focused on the delivery to achieve the best possible outcome.&nbsp;



Test architecture might not be required for all the projects. For example, if a project is very small and doesn’t include many components, you can directly jump into the test strategy document. The small project may last only for a few months, so it makes sense not to have test architecture. However, if you are dealing with a complex project or life-critical project then the test architecture is much required.



<h2 id="h-what-does-test-architecture-take">What does Test Architecture take?</h2>



The test architecture requires in-depth knowledge of your project, domain, organization standards, governance, compliance, technology stacks that the organization is using, and delivery practices followed.



The test architect should have good expertise in testing using both automation and manual. He should clearly understand the requirements and roadmaps. The test architecture should be designed for the future so he should make valid assumptions and risks before the start. Depending on the project the test architecture may be a one-time activity or it may evolve as the project evolves, so the architecture should be flexible and robust.



<h2 id="h-history-of-test-architecture">History of Test Architecture</h2>



The concept of testing was introduced soon after the first software was evolved. It takes back to 1950 when Tom Kilburn wrote the first piece of software. Around 1958 the first team was formed specifically for testing. Thereafter the software testing started evolving it took various directions to streamline the process.&nbsp;



From 1980 to 2000 a lot of evolution happened. It took testing to a new level. During this era, the testing practices and approaches were defined, and new tools arrived specifically for testing purposes.&nbsp; A separate branch was started and called Software Quality Engineering. Later the test architecture, test strategy, and test plan recommendations started to evolve.&nbsp;



Today, Most companies have a dedicated Quality assurance team which will contain test architects, manual testers, and automation testers. Organizations have learned the importance of testing so significant investment is made in software testing resources, tools, and infrastructure.



<h2 id="h-why-create-test-architecture">Why create test architecture?&nbsp;</h2>



The test architecture is important, especially when you are dealing with a complex project or expecting the project to grow in the near future. The test architecture helps to reduce the risks and eliminate the assumptions before delivery.&nbsp;



As you are aware, anything you do randomly may not help in a better outcome. The test architecture streamlines the entire process of testing. Unlike other testing activities, it&#8217;s not focused on a single testing activity rather it is focused on the entire testing and the testing team aims to deliver a high-quality product. Some of the reasons why test architecture is important are listed below.



<ul><li>Helps streamline the testing process</li><li>Helps to reduce the risks associated with delivery</li><li>It helps to define the testing ecosystem, such as the testing environment, infrastructure tools for test automation, manual testing, and anything that is part of the system.</li><li>Helps in documenting the gaps in testing and aligning accordingly</li><li>Brings the testing team, testing process, and tools under a single umbrella, irrespective of manual, automation, or <a href="https://website.testsigma.com/blog/non-functional-testing/" target="_blank" rel="noreferrer noopener">non-functional testing</a>.</li></ul>



<h2 id="h-what-is-the-role-of-the-test-architect">What is the role of the test architect?</h2>



The test architect&#8217;s role is as important as development. As companies start adopting automation into their organization, the test architect role becomes more critical. Having said that, not everyone can become a test architect as it requires passion to explore and a deep level of understanding in testing and product; some roles may also demand knowledge of DevOps.



&nbsp;Let’s look at the test architect role at a glanceo



<ul><li>One should have the passion to explore the current technologies in testing and should explore the possibilities of adopting them to the current project</li><li>He/She should be senior enough to make the right decisions with a deep-level understanding of organizational practices and strategies.</li><li>One should understand the product and work with the product managers and stakeholders.</li><li>The architect will be the key person in the testing team; he should guide and mentor the team by defining the strategy, clear goals, and milestones.</li><li>Architects should build, monitor, and adapt the new technologies throughout the product life cycle</li><li>Identify the testing gaps and provide a timely plan to fill them</li><li>He should also concentrate on the documentation</li><li>Though the role doesn’t involve people management, he should ensure the team members are updated with all technical aspects and understand the process correctly</li></ul>



<h2 id="h-test-architecture-explained-with-an-example">Test architecture explained with an example</h2>



The test architecture differs from project to project. The test architecture depends on a lot of factors as explained above. Let’s look at the example of test architecture at a glance.



Consider an example of any simple product. Let&#8217;s look at the general way of test architecture.



<h3 id="h-test-pyramid">Test Pyramid</h3>



<img loading="lazy" src="https://lh5.googleusercontent.com/k7EMIwS8rcVpRVEK8hKG_Rj9VMZ_8VpPF9XkSS7shVM8AegnGBvnVJgI4KI1U9bhOy9w-T2WxqbZS4sLUpUIWFws2wAnMbUkz50HkWQRJ92oygDO5t4KPSSPIAfhaNBSZtKZm2pjSUY_mNS_l2C3hQ" width="281" height="285">



The <a href="https://website.testsigma.com/blog/testing-pyramid/" target="_blank" rel="noreferrer noopener">test pyramid</a> design is the first step while building the test architecture. The test pyramid is about different types of tests, such as unit tests, API and Integration tests, and end-to-end tests, and their percentage. Additionally, you can also add manual tests or acceptance tests into the test pyramid.



<h3 id="h-responsibilities">Responsibilities</h3>



Once you choose the testing types that you are going to adopt for the project, you need to decide who is responsible for what, for example, developers need to write the unit tests, and the QA team is responsible for the end-to-end tests, etc.



<h3 id="h-tools-and-infrastructure">Tools and Infrastructure</h3>



The test architecture should clearly define the tools that they are going to use. For example for automation tests, the tool will be Testsigma; for manual test repository it will be in the Testlink, etc. Further you need to decide on the DevOps integration, execution frequency, etc.



<h3 id="h-testing-process">Testing process</h3>



The testing process defines when testing is carried out on different environments such as QA, Staging, Production, etc. Additionally, you can also define when the automation scripting will be done &#8211; is it the same sprint or n-1 sprint?



The above are initial tasks, once you complete the initial tasks, the test architecture should further move on to in-depth. 



The in-depth scenarios are listed below:



<ul><li>Define a clear roadmap for automation, manual testing, and non-functional testing</li><li>Design the robust automation framework</li><li>Write the automation test cases</li><li>Document the manual test cases</li><li>Define the standards for automation</li><li>Set the target for automation</li><li>Define the non-functional testing requirement (NFR)</li><li>Choose the tools and environment for NFR</li><li>Define test strategy document</li><li>Define the test plan</li></ul>



As mentioned earlier, there may be additional activities based on the project and product complexity. Remember that anything which is part of testing is also part of test architecture.



<h2 id="h-test-architecture-and-test-automation">Test Architecture and Test Automation</h2>



The test architect role has gained importance because of automation. Automation is the key area in modern testing. The test architecture of automation depends on the framework type you choose.&nbsp;



<ul><li>Evaluate the requirements against the automation tools, and choose the best tool for the project.</li><li>Create the automation framework based on the industry standard principles and practices.</li></ul>



The framework can be keyword-driven, page object model, hybrid, modular framework, or codeless automation framework



<ul><li>Document the checklist and standards that are necessary to maintain while writing the codes.</li><li>Define the automation execution strategy.</li></ul>



The automation execution strategy is the broader term, it includes a lot of activities such as:



<ul><li>Browser types and browser versions</li><li>Platform or operating system and its version</li><li>Frequency of Sanity, Smoke, and regression tests</li><li>Suite level execution</li><li>Executing different types of tests such as Integration, API, and End to end tests</li><li>Integration with DevOps such as Continuous Integration(CI)/Continuous Delivery (CD) pipelines </li><li>Test reporting and analysis</li></ul>



Based on the scheduled frequency, the reports will be generated. &#8211; If you find the test case failure, how to analyze and who will do that? &#8211; Before logging the failure as a defect, what are the necessary steps required? &#8211; When and what to share with the stakeholders



<ul><li>Documentation</li></ul>



Documentation is much more important but most of the team lacks. The automation test architecture document should be accurate and simple. For example, if a new joiner comes into your team, he should be able to set up and follow the process without asking anyone. The documentation reduces the knowledge transfer efforts, and it makes onboarding quicker.



<ul><li>Manual vs Automation</li></ul>



The target for automation is set at the beginning however, it is also a known fact that 100% automation is impossible. How to deal with non-automated test cases. How <a href="https://website.testsigma.com/guides/manual-testing/" target="_blank" rel="noreferrer noopener">manual testing </a>is carried out etc. should be defined in the test architecture.



<ul><li>Communication</li></ul>



The test architect works with multiple teams such as development, DevOps, testing, and business/product team. So the test architect is responsible for communication with stakeholders. If there are any challenges from the development team he should be able to work with them and get them resolved.



The complexity of the test architecture for automation depends on the tool you choose. Because some tools require creating the framework, some come with a framework ready. Not all the tools require coding, so the activities that are involved in defining the coding standards and setup will be reduced. For example, if you choose selenium you need to build the framework from scratch. You need to put a lot of effort into setting up the framework such as building the POM model, writing the base class utilities, configuring the reports, etc. On the other hand, if you choose the <a href="https://website.testsigma.com/codeless-testing" target="_blank" rel="noreferrer noopener">codeless automation framework</a> like Testsigma everything comes as ready to use. No need to write a single line of code. Reporting will be ready, environment configuration also will be ready, no need to write the coding and checklists.



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Test architecture is a broader term that includes a lot of activity. The test architecture takes care of the whole testing activity from start to end. This includes designing, implementing, documenting learning, etc.&nbsp;



Test architecture is required to deliver the quality product on time, especially if it is a complex project. Not anyone can become a test architect as it requires passion to learn and adopt the technologies every day. Furthermore, it is a technical role that requires in-depth technical knowledge of the product, infrastructure, testing tools, and testing process.&nbsp;&nbsp;



As the demand for automation is increasing the demand for test architects is also increasing. The complexity of the automation test architecture depends on the automation tools you choose. The codeless automation tool requires less effort to design and maintain.&nbsp;



<h2 id="h-frequently-asked-questions">Frequently Asked Questions</h2>



<h3 id="h-what-is-the-project-architecture-for-testing">What is the project architecture for testing?</h3>



Test architecture is the standard term used in the testing industry. The project architecture for testing is the same as test architecture; these words can be used interchangeably.



<h3 id="h-isn-t-test-architecture-similar-to-test-planning">&nbsp;Isn&#8217;t Test Architecture similar to Test Planning?&nbsp;</h3>



The test planning and test architecture are not the same. Test planning is part of the test architecture. It focuses more on the planning by focusing on a certain set of activities however, the test architecture focuses on the entire testing life cycle irrespective of the testing types.&nbsp;



Unlike test planning, the test architecture can be one time, or it might evolve as the project evolves. The <a href="https://www.javatpoint.com/test-plan" target="_blank" rel="noreferrer noopener">test planning</a> doesn’t require many technical details however, test architecture requires hands-on experience in different testing areas.

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Agile Testing Quadrants are a practical tool for sorting testing types into four categories. They help testers decide what to test and how to do it, considering exhaustive testing is impossible.



These quadrants are adaptable, letting you choose the right testing approach for each unique situation. In this article, we&#8217;ll break down Agile Testing Quadrants and show you how to use them with real-world examples. It&#8217;s your guide to effective testing strategies.



<div id="toc_container" class="no_bullets">Table Of Contents<ul class="toc_list"><li><a href="#The_origins_of_the_8216Marick_Test_Matrix8217">1 The origins of the &#8216;Marick Test Matrix&#8217;</a></li><li><a href="#What_are_the_Agile_Testing_Quadrants">2 What are the Agile Testing Quadrants?</a><ul><li><a href="#Quadrant_1_Technology_Facing">2.1 Quadrant 1: Technology Facing</a></li><li><a href="#Quadrant_2_Business_Facing">2.2 Quadrant 2: Business Facing</a></li><li><a href="#Quadrant_3_Supporting_the_Team">2.3 Quadrant 3: Supporting the Team</a></li><li><a href="#Quadrant_4_Critique_Product">2.4 Quadrant 4: Critique Product</a></li></ul></li><li><a href="#How_to_Use_the_Agile_Testing_Quadrants">3 How to Use the Agile Testing Quadrants?</a><ul><li><a href="#Example_1nbsp">3.1 Example 1:&nbsp;</a></li><li><a href="#Example_2nbsp">3.2 Example 2:&nbsp;</a></li></ul></li><li><a href="#Benefits_of_Using_Agile_Testing_Quadrants_Model">4 Benefits of Using Agile Testing Quadrants Model</a></li><li><a href="#Conclusion">5 Conclusion</a></li><li><a href="#Frequently_Asked_Questions">6 Frequently Asked Questions</a><ul><li><a href="#What_are_the_4_C8217s_of_agile">6.1 What are the 4 C&#8217;s of agile?</a></li></ul></li></ul></div>
<h2 id="h-the-origins-of-the-marick-test-matrix">The origins of the &#8216;Marick Test Matrix&#8217;</h2>



<div class="wp-block-image"><figure class="aligncenter"><img src="https://lh3.googleusercontent.com/0VaBLDwUfm-uZpNDAxulv7z-aXu-3lhfXkwZLQVMcKmJ1xhrzvzeWLxe3lii28bYK3FK_3CaIgJUDoTpBek8ktavW-QDYw41OgOI84c3ljoOdoOaNFsaH2ND2tvZF2n2-2vn4RmWbzHLVA8adDOOLhY" alt="Agile testing quadrants"/></figure></div>



In 2003, software consultant Brian Marick made a significant contribution to<a href="https://website.testsigma.com/blog/understanding-agile-testing-framework/" target="_blank" rel="noreferrer noopener"> Agile Testing</a>. In response to feedback that he wasn&#8217;t doing enough to foster Agile testing as a well-defined discipline, he embarked on a mission to rectify this. His initial step was the creation of Agile Testing Quadrants, initially referred to as the &#8216;Marick Test Matrix&#8217;. This matrix consists of a straightforward grid.



Within this grid, Marick proposed specific positions for various testing types in each of the four quadrants. He delved into the rationale behind these placements, setting the foundation for a more comprehensive understanding of Agile testing.



<h2 id="h-what-are-the-agile-testing-quadrants">What are the Agile Testing Quadrants?</h2>



<figure class="wp-block-image size-full"><img loading="lazy" width="2400" height="1960" src="https://s3.amazonaws.com/blog-assets-staging.testsigma.com/blogs/wp-content/uploads/67997939.png" alt="Agile Testing Quadrants" class="wp-image-35333"/></figure>



The Agile Testing Quadrants, an evolution of Brian Marick&#8217;s Agile Testing Matrix, serve as a compass for tailoring your testing approach based on the specific business context. There are four quadrants, each emphasizing a different aspect:



<h3 id="h-quadrant-1-technology-facing">Quadrant 1: Technology Facing</h3>



This quadrant is all about supporting the team from a technological angle. It centers on testing the code through unit tests and component tests.



<h3 id="h-quadrant-2-business-facing">Quadrant 2: Business Facing</h3>



In Quadrant 2, the focus shifts to supporting the team from a business perspective. Testing activities revolve around business rules, employing <a href="https://www.javatpoint.com/functional-testing" target="_blank" rel="noreferrer noopener">functional tests</a>, examples, story tests, prototypes, and simulations.



<h3 id="h-quadrant-3-supporting-the-team">Quadrant 3: Supporting the Team</h3>



Quadrant 3 introduces techniques that assist the team in critiquing the product by approaching it from a business perspective. It includes exploratory testing, scenarios, usability testing, user acceptance testing, and alpha and beta testing.



<h3 id="h-quadrant-4-critique-product">Quadrant 4: Critique Product</h3>



The fourth quadrant dives deep into scrutinizing the product from a technological perspective. It recommends using performance testing, load testing, security testing, and various &#8220;ility&#8221; testing types such as accessibility, reliability, and portability.



These quadrants guide your testing approach and indicate whether the techniques are more suitable for manual testing, automated testing, or a combination of both. They provide a versatile toolkit for addressing different testing needs within an Agile framework.&nbsp;



<h2 id="h-how-to-use-the-agile-testing-quadrants">How to Use the Agile Testing Quadrants?</h2>



Agile Testing Quadrants offer a structured approach to tailor your testing strategy based on your project&#8217;s context. Let&#8217;s delve into an example to illustrate their application.



<h3 id="h-example-1">Example 1:&nbsp;</h3>



Imagine you&#8217;re working on a <a href="https://website.testsigma.com/automated-web-application-testing" target="_blank" rel="noreferrer noopener">web-application</a> e-commerce platform. You realize that in your current context, you need to ensure the user interface (UI) functions flawlessly across various devices and browsers. To do this, you turn to Quadrant 4, which focuses on critiquing the product from a technological perspective. Here, you opt for automated UI testing using a tool like Testsigma. By doing so, you efficiently assess the application&#8217;s compatibility, ensuring it performs seamlessly on all target environments. This automation saves time and ensures consistent testing across different scenarios.



Automate your tests for web, mobile, desktop and execute them on 3000+ real devices and browsers, easily, with Testsigma



<h3 id="h-example-2">Example 2:&nbsp;</h3>



Now, consider a scenario where you need to validate the critical business logic governing product discounts and promotions. In this case, you shift your focus to Quadrant 2, which centers on business-facing tests. Here, you might employ tests to verify that the business rules are correctly applied. This automation guarantees that your application adheres to the core business requirements, reducing the risk of costly errors in the live system.



In both instances, the Agile Testing Quadrants help you select the most appropriate testing approach for your specific needs, whether it&#8217;s ensuring technological robustness or validating critical business functionality, while tools like Testsigma enhance efficiency through test automation.



<h2 id="h-benefits-of-using-agile-testing-quadrants-model">Benefits of Using Agile Testing Quadrants Model</h2>



Focused Testing: Agile Testing Quadrants provide a structured framework to categorize testing types, ensuring that your testing efforts align with your project&#8217;s specific needs. This focus leads to more efficient testing.



Improved Communication: These quadrants serve as a common language for project teams, making discussing and prioritizing testing activities easier. This enhanced communication fosters collaboration and understanding.



Tailored Approach: The model promotes a tailored testing approach by guiding you to choose the right quadrant based on your context. You&#8217;re not confined to one set of techniques but can select the most appropriate ones for your project.



Enhanced Test Coverage: The quadrants help identify gaps in your testing strategy. This ensures that business and technological aspects are thoroughly addressed, reducing the risk of overlooking critical areas.



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<h2 id="h-conclusion">Conclusion</h2>



In conclusion, Agile Testing Quadrants offer a valuable toolset for agile teams to strategize and execute testing effectively. By categorizing testing types and guiding their application based on context, these quadrants enhance focus, communication, and test coverage, ultimately contributing to the success of agile projects.



<h2 id="h-frequently-asked-questions">Frequently Asked Questions</h2>



<h3 id="h-what-are-the-4-c-s-of-agile">What are the 4 C&#8217;s of agile?</h3>



The 4 C&#8217;s of agile are Collaboration, Communication, Confidence, and Courage. These principles emphasize the importance of teamwork, open and effective communication, trust in the team&#8217;s abilities, and the willingness to take risks and adapt in agile development processes. These C&#8217;s are foundational in creating a successful agile environment.

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