Whether a project manager or tester, everyone in the team is excited when a new project is assigned. Be it manual testing or automated, all possible types of testing, like functional, regression, compatibility, automation, performance, etc. is performed. But the question is: how long do we continue testing the application? Is there a way to determine when to stop testing and perhaps save project resources?

“Testing is an endless process and we can never presume that the product is 100% bug free”.

We, at QA InfoTech, use all possible hardware and software combinations to test the system, but there is always a grim chance that the end user possesses an outdated hardware/software which could pose problems with the application. Our testers understand the customer’s view point; however, we cannot cater to 1% group of users who use non-standard hardware/software.

Following are some of the techniques which can help decide when to stop testing:

♦    Test cases covering all requirements and functionality of the application have been executed and the test cases pass with a predefined percentage.

♦    In addition to completing requirement based QA and testing, all scenario based testing have also been completed

♦    All types of testing, i.e. functional, regression, GUI, compatibility, automation, and performance, etc. have been performed thoroughly.

Defects vs. Builds

The other most used technique at QA InfoTech is to plot a graph between Defects Found vs Build Versions.

The graph below is a typical representation of the same. It clearly depicts that the rate of finding defects decreases and becomes constant as bugs are fixed by the development team. Once the curve declines and runs parallel to the X-axis, it is a good time to stop testing.

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