What is Automated Testing?
Automated software testing is a crucial technique for software testing in which testers leverage automated software tools for executing test cases. Automating the test suite helps save time and effort required in performing repetitive and resource-heavy tasks that are difficult to perform manually. Automated software testing simplifies the testing processes with minimum effort and has a positive impact on the quality of the software releases, their associated costs, and time to market.
There are a variety of tools available for automated software testing, which can automate testing for various applications, including web applications, mobile applications, and desktop applications. With today′s modern development architecture and delivery methods, investing in automated software testing is essential for every software-dependent business to release quality software products faster than ever before.
Automated Testing vs. Manual Testing
Here are some of the major differences between automated testing and manual testing:
In automated testing, tests are executed automatically with the help of an automation tool where human intervention is not required, whereas in manual testing, tests are executed by a human.
Manual testing is a hands-on technique where the testers need to get involved in everything from test creation to test execution, whereas in automation testing, testers leverage tools to write test scripts and then automate the test execution
- As automated testing helps in executing more test cases, the test coverage is higher in automated testing than manual testing
- Automated testing is less time consuming and more efficient than manual testing
Some Downsides and Challenges of Automation Testing
Though automated testing is much more efficient than manual testing, there are some challenges associated with it, such as -
Learning Curve - Most of the automation tools have a steep learning curve as they are code-based tools and coding is required from test creation to test maintenance.
Unrealistic Goals - It is important to set realistic goals and expectations from automated testing and should be mixed with other forms of testing and analysis to get optimum software quality.
Flaky Tests - Another challenge in most tools including Selenium is flaky tests. The test scripts often break if there is any change in the application.
Lack Cognitive Ability - Automated tests will only check the parts which they have been programmed to check and it will fail to detect failures where it is not programmed to detect.
Testsigma is a codeless test automation tool which is built to address the challenges being faced by the test automation industry. It lets you create tests as easily as writing a test in simple English and uses artificial intelligence to automatically heal the tests where possible.
Checkout other features of Testsigma here.
Checklist To Implement Test Automation
Implementing test automation can be a complex process, but following some best practices can make it easier. Here are some important things to keep in mind when implementing test automation:
Define the scope of automation: Define which tests to automate and which tests to perform manually. Automate tests that are repetitive, require multiple data sets, and prone to human error.
Set clear objectives: Define your testing objectives, such as reducing the time required for testing, increasing test coverage, and minimizing human errors.
Choose the right automation tool: A good strategy is Choose the right tool for automation based on your testing requirements, budget, and technical expertise.
Create a framework: Develop a framework that defines the process of test automation, including test strategy, test cases, test scripts, and reporting.
Define the testing environment: Define the testing environment, including hardware, software, network, and data requirements.
Integrate automation with existing processes: Integrate test automation with existing development processes, such as continuous integration and continuous delivery.
Maintain test scripts: A good strategy is Maintain test scripts regularly to ensure they are up-to-date with changes in the application.
Create reusable test scripts: Create reusable test scripts that can be used across different versions of the application.
Perform regular regression testing: Perform regular regression testing to ensure that changes in the application do not break existing functionality.
By following these best practices, you can ensure a successful implementation of test automation that will save time and reduce errors in the long run.
Why Automated Testing Is Essential For CI/CD
Automated testing is very crucial for implementing CI/CD as with quality automated tests running at scale, developers can get the test results within minutes which helps them to work on the defects or key issues straight away.
One of the main features of CI/CD is to test more frequently and reduce the manual work on the developers. Hence, automation of tests plays a key role in organizations that are planning to maximize the value of CI/CD.
Is Low Code Replacing Test Automation
Low code/codeless testing is helping the current Agile and DevOps scenarios to continuously release quality software faster than ever. The complex, repetitive, and time-consuming tasks are easily manageable by these low code testing tools such as Testsigma. Team members who can not code can easily perform automation testing quickly and effortlessly.
However, the intention of low code test automation is not to replace test automation but to aid it. Human effort, time, and attention can be utilized for specialized tasks such as making the testing process better, resolving complex issues in projects, better test coverage, innovating novel solutions, etc
Currently, low code/codeless test automation tools are working in tandem with the traditional test automation to provide astonishing quality results with low human effort and time.
Easy Handling of Changes -As there are numerous small changes in the application as it progresses, managing each and every small change becomes easy with automation
Read more about codeless test automation.
Types Of Automated Testing
- Regression tests
They are ideal for automation testing because of their repetitive nature and huge test suite size.
- Unit tests
The smallest units of code are tested using automation, during the early development stages.
- Integration tests
They help to certify the seamless interaction between modules and are really critical for any software.
- Smoke tests
Checks major functionalities of the software are working when an initial new build is deployed.
- Data-driven tests
Huge data inputs, outputs, and results are easily managed through automation testing, which would otherwise incur enormous manual time and effort.
- Keyword-driven tests
They are popular today, because of the flexibility, reusability, and clarity keyword-driven tests provide.
Benefits of automated testing
Automated testing offers numerous benefits, making it a crucial practice in the software development cycle. Let′s discuss some of the benefits of automated testing in detail,
1. Improved testing speed and efficiency
Automated testing is faster and more efficient than manual testing in terms of test creation, execution, and test accuracy. This speeds up the overall testing cycle, paving the way for faster feedback and release cycles. Also, these tests can be run round-the-clock, ensuring continuous testing without human intervention.
Leveraging a low-code testing tool like Testsigma makes your testing 10x faster by allowing you to create automated tests in plain English using NLPs. This saves immense time, cost, effort, and resources required for testing.
2. Enhanced accuracy and consistency
Test automation eliminates the chances of human errors and helps you get accurate and consistent test results. As the project grows, the test cases also grow in terms of size and complexity. However, having a suitable tool in place can help you achieve reliable and accurate results.
3. High test coverage
You can cover a wide range of test scenarios, including complex and time-consuming test scenarios that are not feasible to perform manually. This leads to improved test coverage, ensuring that more aspects of the application are thoroughly tested.
With tools like Testsigma, you can automate the test data generation process, allowing testers to save time by generating different types of test data on the go.
4. Reduced testing costs
While there is an initial investment in buying and setting up the automated testing platform, it significantly reduces costs in the long run. You can reuse these automated tests across different projects and versions of the application, saving time and effort.
Thus, it reduces the need for extensive manual testing and lowers overall testing expenses. Using scriptless test automation helps achieve a higher test ROI than traditional test automation methods.
5. Faster release cycles
By integrating the automated testing into the DevOps and CI/CD pipeline, QA teams can run tests quickly and frequently. This accelerates the feedback loops, releases, and eventually the time-to-market.
6. Automated regression testing
Regression testing ensures that new changes or updates do not impact existing functionality. That is, the testers have to run the same tests again and again whenever the code changes, which is time-consuming and repetitive. This can be avoided by using regression testing tools.
Automated regression tests can be run efficiently with each build, ensuring that new code does not introduce new bugs. This is highly valuable in agile development environments where frequent code changes are expected.
7. High software quality
With continuous testing, you can quickly identify bugs early in the development cycle, leading to high software quality and more reliable applications.
8. Increased team productivity
Test automation frees up human testers from repetitive and mundane tasks, allowing them to focus on more strategic and creative aspects of testing, like exploratory testing. This improves the overall productivity of the testing team and allows them to add more value to the development process.
9. Reduced human error
Automated testing minimizes the risk of human error, which is common in manual testing due to its repetitive nature. By automating repetitive tasks, you can make the testing process more reliable and consistent, leading to more accurate test results.
10. Improved reporting and analysis
Automated testing tools often provide built-in test reporting and analytics features that provide detailed analysis and insights into test execution. These reports help in making informed decisions, identifying areas for improvement, and tracking the overall quality and progress of the testing efforts.
How to write automated test cases?
Automated test cases are meant to exist for a long time and be as generic as possible to cover as much area as possible. But before writing a test case, there are a few things to address because automated test cases may cost a lot more if backtracking is done later and tests are modified repeatedly. These are termed prerequisites and planning stages.
Prerequisites and planning
Prerequisites and planning stage is the first stage of writing a test case. It ensures that all the groundwork for test cases is laid down in the most efficient and optimal way according to the project.
The first step is to plan the automation coverage and what type of automation domains are to be used. These will be a subset of the above-listed techniques. Once the team knows what the end goal they are expecting from automation, they can analyze all the automation tools and finalize one out of them. For instance, the team may finalize two or three technologies but since the team lacks those skills, they might need to train them. In such a case, testers can opt for codeless test automation tools where programming language is not a required skill. Such requirements start to become much clearer once prerequisites and planning are laid down.
Environment setup
Before test cases can be written, an environment setup is required. This corresponds to the installation of automation software, setting up libraries, setting all paths, integrating any third-party software, etc. It is a time-consuming task and requires constant maintenance from the team. For instance, libraries must be updated, if Selenium is used then drivers require constant updates, etc. Due to this, it is recommended to use a cloud-based test automation tool like Testsigma because such tools take care of all the infrastructural needs, maintenance work, and all other updates. This step can be skipped if such tools are used.
Test scenarios
Now that the environment setup is done, the team needs to write scenarios for the application. The scenarios are often written in English and meant to be read by non-technical users such as stakeholders as well. It is better to reflect back on a test scenario in the future when test case changes are required because it will take much more time to understand the logic through code.
An example of a test scenario can be:
- TS 001 - Check the error message when invalid credentials are passed
- TS 002 - Check the time it takes to login
The above example tags these scenarios with a label i.e. TS XXX which is recommended to match the test case against it. These scenarios can also define sub-scenarios under each label.
Test case writing
In this step, the test scenarios are converted to test cases. The time and effort it takes depends on the choice of tool and programming language. However, if codeless testing tools are adopted, English-based test cases can significantly bring down this time. The test cases should satisfy all the requirements described in the test scenario completely.
Test execution
The test cases written in the previous step are executed using the local or cloud infrastructure. The results can either be emailed or a temporary link can be generated during test execution. In the case of cloud-based tools, the results can be seen in the tester’s account.
Reporting
The final step in automated test case writing is the reporting of test cases. This is an essential step as reports work as the windows to the past whenever required. Reports are also shared with all the team members, business associates, and stakeholders to let them know the performance and improvements, if any.
When these steps are followed in the same order as defined here, it becomes a straightforward and easy process to write automated test cases with no chances of backtracking.
What are real-world example of automated testing?
Automated testing can be implemented through various techniques, each of them focusing on a unique aspect of the application under test. These techniques with real-world examples are as follows:
Functional testing: Functional automated testing aims to test the features and functionalities of the software through automated means. In this type of testing, QAs do not worry about the internal structure of the application and the testing focuses on passing an input and matching the output with the expected output.
Example: A real-world example of functional automated testing is verifying the functionality of sending an email on a particular action taken by a user. For instance, as per the functionality, if a user logs in to their account, an email is sent to the user with the device′s location and the time of login. As per functional testing, the testers can pass the correct login details and log in to check whether the email was received. Here, we are not concerned about what port is used for email sending (as an example) but only whether the email is received or not.
Unit testing: Automated unit testing ensures that each individual module of the application works as expected without any dependencies. The goal of this type of testing is to catch the bug at the first stage where the code under test has fewer lines and no dependencies. This saves time for developers and costs for businesses.
Example: A simple real-life example of unit testing is to test the “Add to Cart” option of an eCommerce application. The testing scenario can be to click on the “Add to Cart” button on a product page and verify if the product got added successfully. Notice that here this feature also triggers other functionalities such as the “Add to Cart” icon should show the number of products added as well as reflect this change across all devices where this account is logged in. However, since this is unit testing, the team ignores all these scenarios focusing on one individual and isolated element.
Cross-browser testing: Cross-browser testing is a testing type where each functionality is verified across various combinations of devices. This combination includes operating system, screen sizes, device manufacturer, screen resolution, browser type, browser version, and many more. The main goal of cross-browser testing is to make sure that each functionality works as expected and similarly in all these combinations.
Example: A commonly occurring issue for users, developers, and testers on the cross-browser testing note is the rescaling problem which translates to the problem occurring due to different screen sizes. Since the same application is shown on a smaller and larger screen, rescaling done by the browsers or operating system may sometimes lead to challenges. These challenges can span from button shrinkage to an extremely small size and font reduction to a point where it becomes unreadable. Such cross-browser issues are always on a high-priority list of testers but the occurrence of platforms like Testsigma has helped facilitate and cut the time of testing.
Integration testing: Unit testing verifies the individual elements but these individual elements have to talk to each other (and depend on each other) to establish an integrated software that can be used by the end-users. Such an integrated system when tested through automation is termed automated integration testing. The main goal behind this testing type is to ensure that the modules are compatible with each other after integration, the flow of application for the end-user is smooth, and the data flow across various modules (including the database) is consistent and secure.
Example: A real-world example of integrated testing can be picked up from the previous example of the “Add to Cart” functionality discussed in the unit testing point. In integrated testing, the team should expect that the complete flow from “Add to Cart” to “Successful Payment” is working as expected. Hence the team can follow such scenarios:
- Clicking on the “Add to Cart” button
- Verify if the cart icon changes and the quantity updates on the icon
- The items added are visible in the cart
- The payment option shows the correct payment methods
- Payment gateways are working
- Payment is successful if done correctly
- Email is sent to the user
- Email is received on the email ID of the user
- The items purchased are available in the “Orders” section.
This is an example of how integration testing can be achieved on a part of an eCommerce application.
UI testing: The user interface of an application is the first thing that creates an impression on the end-user. If the UI is messed up, the user will probably not even get to use the functionalities offered by the application. Automated UI testing’s job is to make sure that UI is stable, consistent, and displayed as intended by the UI team. A part of it comes in the form of visual testing as well which ensures that the web page (or app) is pixel-perfect where each pixel is at the exact location it was meant to be.
UI testing is also one of the first testing methods to have been included in the automated testing driven by AI. Methodologies like “Automated test case generation”,“Self-healing”, and “Record-and-replay” are all associated with UI testing.
Example: A common real-world example of UI testing is seen on the Login page. While it may seem like a straightforward task, it is only so because testers have performed automated UI testing on it. This testing ensures that the UI behaves according to the current state of the input fields that take login credentials. If any of the fields from Email and Password are empty, the “Login” button should remain disabled. UI testing also ensures that the email ID is written in the correct format and if the credentials are wrong, an error message such as “Wrong credentials, please try again or use Forgot Password option” should appear along the input fields.
Regression testing: The codebase goes through hundreds of changes at an enterprise level from different teams. These changes are often uncoordinated across teams and since code bases are huge, nobody really knows which line from which team (or even the original code base) can affect the entire flow. Such issues must be addressed before the new changes reach the user post-production. Automated regression testing’s main goal is to ensure such scenarios never occur and verify the stability of the application after every change.
Since automated regression testing has to check the application from all the scenarios, sometimes the test cases may fail because the functionality has been changed in the newer version. All this makes automated regression testing a heavy job requiring a lot of work and attention from testers. Therefore, AI-based tools like Testsigma are recommended in regression testing as they bring self-healing and English-based test cases into the picture that are easy to maintain and require minimum work from the testers.
Example: A real-world example of regression testing can be seen in an eCommerce application where the team of developers has put a new change after the payment page. The new change will now redirect the user to the feedback page as the team wishes to know the feedback on the purchase process rather than showing a “Purchase Successful” message directly. Regression tests may fail at this point as the tests are written to verify the redirection to the “/success” instead of the “/feedback” URL. This ensures that the new change is breaking the existing flow and requires manual intervention. The testers then change the test cases and construct new regression tests to make sure this new flow is tested in this change and all the subsequent changes. Such tests will run until these tests are not modified manually.
These real-world examples of automated testing provide a clear image of how automated testing targets different areas of an application and ensures that the end-user receives a high-quality product no matter what action they take on the application and in what order.
Automated Testing Example With Testsigma
You can use test automation effectively across different phases of STLC to speed up the overall testing process with high accuracy and efficiency. Here is an example of automated web testing,
Scenario - Consider you want to test the login functionality of your website or application.
Tools - You can automate this using traditional test automation frameworks like Selenium or modern low-code test automation tools like Testsigma.
With Selenium, you must set up the infrastructure and then create test scripts using any Selenium-supported languages to automate tests. This is time-consuming, resource-intensive, expensive, and will cost more in the long run.
Modern platforms like Testsigma allow you to automate web, mobile, API, and desktop tests in one place without requiring any coding or infrastructure setup.
Read more: Testsigma vs Selenium: A detailed comparison
A quick look at how Testsigma automates login functionality tests,
- Log in or sign up to Testsigma. Create a new project and start creating login test cases using simple English commands supported by NLP or Recorder.
- After the test cases are created, execute them using the Run button.
- Once the test run is complete, you will get the detailed test results and insights. You can use this to analyze the tests and share them with the developers for quick bug fixing.
Why Testsigma For Automated Testing?
Testsigma is a cloud-based low-code AI-driven test automation platform that allows you to automate different types of applications, like web, mobile, desktop, API, and Enterprise-grade applications, in one place.
With its cloud-based platform, intuitive UI, and low-code techniques, Testsigma can increase your test automation speed by up to 10x without any coding or in-depth tool knowledge required. Here are some reasons why Testsigma is the right tool for your test automation needs,
- Easy to Use: No coding skills are required. Testsigma′s NLP-based testing and Recorder makes automated testing easy and accessible for both technical and non-technical users. It also supports Java for code-based test scripting.
- Cloud-Based: You do not need to install and configure any application or framework. All you need is a web browser and an internet connection to start creating tests.
- Faster Release Cycles: Testsigma accelerates your testing 10x faster by speeding up the feedback and release cycles, eventually reducing the time to market.
- Compatibility Testing: Zero Learning Curve: It offers a simple and intuitive UI, which makes it user-friendly and easy to use. It allows you to create tests similar to Natural Language, which makes test automation easier for manual and test automation engineers.
- Security Testing Unified Platform: Automate web, mobile, API, and desktop apps in one place. It supports Salesforce testing, too.
- Zero maintenance overhead: Testsigma′s AI-powered auto-healing tests prevent false failures by making test maintenance easy.
- Testsigma′s Private grid: Run your tests parallelly across different test environments to further reduce test execution time.
- Real-device cloud: Run your tests across 3000+ real devices/browsers/OS combinations on the cloud.
- High test coverage: With Testsigma, you can automate different types of functional testing for your web, mobile, API, desktop, and Salesforce applications in one platform.
- Integration support: It provides 30+ integrations with popular CI/CD tools, product management, collaboration, and bug-tracking tools.
Misconceptions about automated testing
- Automation can replace manual testing entirely: Automation is not a replacement for manual testing but rather complements it. Both approaches play different roles in the overall testing process.
- Automation is only for large projects: Automation can be beneficial even for small projects, especially for repetitive tasks and regression testing.
- Automation is expensive: While initial setup costs may be involved, automation can significantly reduce long-term testing costs due to increased efficiency and reduced manual effort.
- Automation is challenging to implement: While technical expertise is required, numerous tools and resources make automation accessible to teams of various skill levels.
Automated testing best practices
- Start small: Begin by automating simple, repetitive tasks before moving on to more complex scenarios.
- Choose the right tools: Select automation tools based on project requirements, team skills, and budget.
- Develop clear and concise scripts: While initial Use proper coding standards and documentation for easy maintenance and understanding.
- Integrate with CI/CD pipelines: Automate test execution as part of your continuous integration and continuous delivery (CI/CD) pipeline for faster feedback and release cycles.
- Monitor and maintain test scripts: While initial Regularly review and update test scripts to reflect changes in the software application.
- Combine with manual testing: Leverage automation for repetitive tasks and utilize manual testing for exploratory testing and tasks requiring human judgment.
How Can Enterprise Businesses Use Automation?
Enterprise businesses can leverage automation for various purposes, including:
Regression testing: Automate the execution of regression tests to ensure new features don′t break existing functionality.
Performance testing: Automate performance testing to ensure the software can handle the expected load and user traffic.
Security testing: Automate security testing to identify and address vulnerabilities before exploitation.
API testing: Automate API testing to ensure APIs function correctly and meet specific requirements.
Cross-browser testing: Automate testing across different browsers and devices to ensure a consistent user experience.
Types of Test Automation Frameworks
Here are the six types of automation frameworks that are used commonly:
Linear Automation Framework - In this framework, all the test steps are written one after the other in a sequential order
Modular Based Testing Framework - In this framework, the app is divided into “functions” and “sections” and each of them are tested in isolation
Library Architecture Testing Framework - It is largely based on modular framework with an added advantage of higher degree of reusability
Data-driven Framework - In this framework, test data is separated from script logic which allows testers to store data externally
Keyword-driven Framework - In this framework, test data and script logic are separated but keywords are all stored in an external data table
Hybrid Testing Framework - As the name suggests, it is a combination of both data-driven framework and keyword-driven framework
How To Choose Which Tests To Automate?
The types of test cases which have plenty of complex manual scenarios and require a lot of data should be automated. A test case should be automated if -
- It will save significant amount of time
- The tests are going to be repeated
- The tests are stable, not risky, and unlikely to change
- The tests are error prone if done manually
- The test has several downtime between steps
You can automate test cases, based on these qualifications which will increase the ROI on the test automation.
For a more details on what to automate and how check here
How does Automation Testing Work?
Automated testing involves creating scripts that simulate user actions and interactions with the software application under test. These scripts are executed by automation tools which then compare the actual results with the expected results to identify any discrepancies or failures.
Here′s a simplified overview of the process:
- Define test cases: Identify the functionalities and scenarios to be tested.
- Develop test scripts: Create scripts using specific automation languages and tools.
- Run test scripts: Execute the scripts against the software application.
- Analyze results: Compare actual results with expected results to identify failures.
- Fix bugs and retest: Fix identified bugs and retest to confirm the fix.
Building A Test Automation Framework For Your DevOps Team
Frameworks are the base of test automation as they provide reusable components that can be utilised for creating custom automation tests. Building a test automation framework and test environments require a lot of effort from tech experts.
Here are a few things to keep in mind while building an automation framework for your DevOps team:
- Companies should automate workflows to reduce testing time and costs and bugs should be tracked and fixed quickly
- Focusing on achieving the full test coverage
- Searching the automation experts having the right skills
- Maintaining excellent communication and collaboration between the teams
If test automation frameworks are implemented properly, they can significantly reduce test suite maintenance costs during DevOps.
5 Rules For Successful Test Automation
Here are the 5 rules for successful test automation -
Automation Improves the Process - It is crucial to understand that automation just improves a process that you already have, but it does not replace it. Automating a good process can amplify the results for you.
Building a Dedicated Team - Having skilled professionals can guarantee the quality you expect and also reduces the burden on the developers.
Automating the Right Things - Don’t expect to automate everything. Test automation is ideal in some specific situations, but not work well everywhere.
Treat Automation as Another Development Project -Put specifications on what automation will do and it will not. You need to plan, monitor, and manage automation just like any other project.
Automation Metrics - Metrics matter a lot in the success of automation as this is how you will justify the investments. Check the time and money you can save annually with automation as compared to manual.
Also checkout the best practices for test automation here
How To Choose A Test Automation Tool ?
Selecting an ideal test automation tool is one of the most crucial decisions for a software company before the starting of automation.
Here are a few things that you should consider before selecting an automation tool -
Understand the Project Requirements - It is important to get a deep understanding of the project requirements including the nature of your app, what you need to automate, and the amount of test cases to be automated
Consider an Existing Tool as a Benchmark - You can consider an existing automation tool such as Selenium as a benchmark to determine the best tool for your project
Ease of Maintaining Scripts - You should consider a tool in which developing and maintaining the test scripts is simple to save time and effort.
Ease of Test Execution for Non-technical members -Analyse how simple the test execution is and whether a manual tester having little to no technical language can easily perform it.
With Testsigma, you don’t have to worry about the technical aspects as it is Low-Code and uses simple English for test cases and has an intuitive UI which makes it easily accessible even by non-technical members.
Testing Needs - First and foremost, understand your testing needs and whether the tool suits your project environment, technology, and all the objects used in the code.
Budget - Once you have the deep understanding of your project, it’s time to analyse whether the tool match your budget
Learning Curve - It is also important to analyze the learning curve of the tool and whether the learning time is acceptable for your goals
Coding Language - It makes sense to invest in a tool that supports most of the coding languages on your projects
Tool Version Stability - Check whether the current version of the tool is stable or not and the company has good reviews, customer support, and help resources online
Setting Up Your Own Test Automation Environment
You can easily install your own test automation environment and run tests using Selenium WebDriver and also integrate it with other commercial tools, including LambdaTest, SauceLabs, and BrowserStack. WebDriver is an API that calls browsers to automate it and is ideal to run automated tests.
Different browsers need different drivers to allow WebDriver to communicate with them. Most of the environments have a framework that installs WebDriver.
Cloud Automation Testing
When automation is done using resources on the cloud, it is termed as cloud automation testing.
According to webtribunal stat: here: 90% of companies are on the cloud. So, testing their application using resources on the cloud makes sense too.
Test automation on cloud offers a wide range of benefits including almost zero initial time and cost, 24/7 access to resources, better team collaboration, multiple test environments support, and faster app reach to the market. Thus, we can say that cloud automation testing is something that is here to stay.
Testsigma is a test automation tool that is completely cloud-based. Being on the cloud, the time to setup is almost negligible. Also, most third party integrations and configurations are as easy as plug and play. With the support for test automation on 5 cloud device providers, ability to automate your tests on web, mobile, APIs from the same place and very easy test creation ecosystem - Testsigma saves your time and cost throughout your test automation journey.
Choosing the Right Automation Testing Tool - A Unified Platform
If you′re searching for an automation tool that can help you achieve 10x faster testing and a positive ROI, look no further than Testsigma. With its cloud-based platform, intuitive UI, and simple English language, Testsigma can increase your test automation speed by up to five times without any coding or in-depth tool knowledge required.
Here are some reasons why Testsigma is the right choice for your test automation needs:
Easy to Use: Testsigma′s simple English language and intuitive UI make it easy for even non-technical users to create automated tests.
Cloud-Based Platform: With Testsigma, you don′t need to install or maintain any software. All you need is a web browser and an internet connection to start creating tests.
No Coding Required: Testsigma eliminates the need for coding, allowing testers to focus on creating high-quality tests rather than writing code.
Automation: . Intelligent Test Testsigma′s AI-powered technology helps identify and fix errors in real-time, reducing the time and effort required to maintain tests.
Cross-Platform Support: Testsigma offers cross-platform support for web, mobile, and desktop applications, ensuring your tests work seamlessly across all platforms.
Overall, Testsigma is a powerful and user-friendly automation tool that can help increase your ROI and improve your testing process.
Frequently Asked Questions
What are some common automated testing mistakes?
The common mistakes while performing automation testing are:
- Choosing the wrong automation tool : Different testing requirements for an application may call for different automation testing tools.
E.g. Cross-browser testing will require an automation testing tool which supports testing on varied browsers, devices, and platforms. For API testing, another that supports it.
Hence, it is recommended to first identify the requirements thoroughly and then choose an appropriate automation tool. Open-source is not the answer to all our automation issues, for saving the budget we cannot put our precious efforts and time into creating things from scratch. Also, with the help of automation testing tools, we can have better quality, time management, ease of use, availability of real devices/platforms, and detailed reporting. Here’s a blog you may like. - Choosing wrong test cases for the automation: We cannot just pick the manual test cases one by one and start automating them. It is a wrong approach, we need to pick test cases wisely for a good ROI (Return On Investment). For example: repeating test cases is an ideal choice for automation.
- Lack of training:If the team is unaware of the programing language of the automation framework, the learning and training time gets added to the time invested in development. It is always better to use codeless automation tools or pick a tool which the team already knows about. Learning Testsigma does not require any coding skills and we can start using it immediately by writing test cases in simple English. See the demo here.
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