Maintaining an automation suite with 100 plus test scripts is never easy, even for skilled automation engineers, as application changes with time due to ever-changing business requirements. Unless an automation life cycle has a self-healing capability, any significant investment may not look very promising for one’s product quality in the long run. Here you find in this infographic the Best AI Automation Testing Tools.
Here are some Benefits of AI testing Tools:
- Improved Accuracy
Even the expert tester is bound to commit mistakes while performing repetitive manual software testing. Thus, software automated testing benefits by performing the same or repetitive steps correctly and never missing out on reporting accurate results.
- Going beyond the limitations
It is nearly impossible for the most significant software/QA departments to perform a controlled web application test with 1000+ users.
- Helps Developers and Testers
The developers can utilize shared automated tests to catch problems immediately before sending them to the QA team. Tests can run automatically whenever the source code changes.
- Increase in overall Test Coverage
With automated AI software testing, one can improve tests’ overall depth and scope, improving software quality. Automated software testing can look into the memory and file contents, internal program states, and data tables to decide whether the software performs as required.
