What is a self-healing test automation?
Automation Testing provides higher testing efficiency, competitive advantage for organizations, and other major benefits, but it is somewhat balanced by agile and devox, and rapid changes, often for script tests that can cause automation.
The loss is overcome through self-healing test automation.
This is a testing mechanism that detects object changes in products and is intuitively updating with new attributes to ensure a functional test case.
Self-Healing test automation tools not only help reduce the termination and increase the speed of development but the QA testing and service team can also achieve greater efficiency by creating basic automation scripts for several applications.
The importance of self-healing
Self-healing is very important to build an efficient maintenance process for testing automation.
A well-planned treatment, both executed well testing the recurring training team and changes in test scripts that almost never end and provide the foundation for testing automation to do full potential.
This mechanism also helps reap the following benefits.
Fewer tests fail
Let's say the test team you decide to schedule a testing automation suite to run at night to collect results the following day, when you also plan to make a new test kasing.
The next morning, you find the automation test stop working. You know that the user interface development team (UI) changes ID from the text box, the test automation suite does not recognize it and therefore the test fails.
That the test may fail is not a surprise for software testers. Sometimes, however, changes in the UI application can be the cause of a failed test.
With self-healing test automation, tests cannot fail because AI in automation tools can cure the code by itself.
The Smart Recorder feature helps find a better path to detect items that have attributes updated by the UI development team, debug the code itself and continue to run the code.
Prevent lies test
The flakt test makes it challenging for the test team to identify whether or not their test is stable.
"NosuchelementException" is one of several errors that cause a commotion to the design of the test, something that the test team does not have many controls.
By ensuring the design of the latest tests with applications, tests tend to fail during execution when execution also flows smoothly too.
Save time and effort
Changes in the Test Code are relative to changes made by developers in the application.
For example, if the developer has changed the ID or class attributes on the web page, the appropriate change must be done in the test script too. The paste point is this: if changes in the application are many, the testers need to make changes as many as test scripts and run it.
It not only saves the time and efforts of the agile and development team, but significantly reduces costs.
How to approach yourself healing
Self-healing mechanism benefits, developers, and testers are the same, but it is very important to understand the system building blocks.
Application awareness
Knowing the application inside-out is one of the core principles. Easy to enable self-healing mechanisms in the automation framework, a lot of time can be lost if the production problem in the application is not identified before.
To resolve this problem, automatic warnings can be set to identify the most common errors.
Prevention is better than medication
Exactly! Although it might be fun to automatically recover from error cases, preventing it before is the best choice. It is important to identify the main problem and overcome the root causes.
So, is the automation of the healing test the next big thing in QA?
As technology, this is one of the innovations that help meet digital testing demands as a digital disorder organization to innovate quickly and efficiently.
Automation of self-healing testing is very valuable in various ways, the main thing is to help testers from must continue to update the test case as an application evolved.
Software testing is and will continue to evolve with artificial intelligence automation tasks that traditionally require human cognition and involve independent learning.
However, smart testing technology without AI's help will continue to play a key role in software testing.
Progress such as automatic test portfolio optimization, risk assessment of self-adjustment, automatic defect diagnosis, providing smart environment and more expected to be important in QA in the next few years.
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