Regression testing is the process of confirming that recent bug fixes or code changes haven’t adversely impacted existing features. In short, making sure that older programming still works with any new tweaks, changes or patches. Regression testing aims to catch bugs that are inadvertently introduced into a new build or release candidate. It also ensures that previously fixed defects continue to stay fixed.
But of course, regression tests are highly tedious and repetitive tasks and yet extremely necessary. As organizations look for various ways to speed up their release without compromising the quality, the frequency of releases increases. Thus, regression testing plays an important role.
Owing to this redundant but crucial aspect, regression testing is the most eligible candidate for automation. Testers can focus on development strategies and other crucial areas of testing as defects are caught and fixed with automation.
To do this effectively however, every team must develop a regression test plan. The plan should clearly define the scope, the strategy and exit criteria. Performance testing also needs to be included in the test to ensure that system performance remains optimum and unaffected. With intelligent automation taking center stage, automated regression testing tools can handle the evolved requirements and features of open source testing.
But you need to select regression test cases with caution to cover maximum functionality in a minimum amount of test cases. When the application scope is vast or there are continuous increments or patches, automated regression testing comes to the rescue.
What are some criteria that can help you decide your regression testing automation tools? You can look for some or all of these:
Since speed is of essence, agile teams are now looking at more efficient tools that don’t’ require long-winded test scripts and those that are not restricted to a few GUI-based commands. The efficient and effective thing to do is use script-less automation with drag and drop, and simple test commands like click, wait, click and wait etc.
Not only do you save a great deal of time spent otherwise on writing code, it also helps reduce the test-load and improves your output.
With vast amounts of test data and multiple testers(often in geographically distributed teams), it is necessary to store and execute test scripts on the server. The process of storing and executing test scripts, in turn, also needs automation to speed up the regression testing cycle. Several leading continuous integration(CI) tools such as Jenkins, Bamboo, etc are widely used across enterprises to achieve this. The popular and smart approach now is to use apps and plugins for these CI tools with your automated testing tools to integrate your efforts.
This helps testers to execute test scripts easily on the server. Furthermore, the integration between regression testing tools and CI apps will help you verify your release on regression cycles.
But why limit yourself to CI tools? With some of the modern automated testing tools you can integrate continuously with other project and test management tools and defect tracking apps.
Record and playback
Regression test cases need documentation as you end up referring to these sooner or later. Using a tool that enables recording and storing of each and every action helps you to execute the same for other projects with minimal editing. Therefore, choose your wisely. Ideally, one that supports recording and playback.
Automation should foster reusability. You can reduce time taken to test similar test scenarios with the help of reusable test cases. In fact, you can combine reusable test cases to fulfil complete regression testing cycles.
Support across a range of devices and platforms
The pace of digital transformation has complicated the device and platform mix. Tools that support a wider range of apps and interfaces across desktop, web and mobile tend to gain preference over other tools.
Reporting is again a non-negotiable feature for any automated testing tool. Detailed information like test pass, fail, OS warnings, browser configuration enable more informed decision making and action planning.
When choosing your tool, think of factors like reusable frameworks and ease of automation, business driven development, component driven automation and frameworks that support test management across GUI/WEB/Services. If you would like to find out how QMetry’s Digital Quality Platform can help you achieve shorter release times and increased coverage, start your free evaluation now.