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Frequently Asked Questions

What is mutation testing?

Mutation testing is not only done to determine the quality of existing software tests, but also to design new software tests. In mutation testing, a program is modified in small ways. It emphasizes helping testers develop effective tests and detect bottlenecks in the test data of the program. In 1971, Richard Lipton first proposed mutation testing.

What is a mutation score?

A mutation score is a ratio of the killed mutants to the total number of mutants. It is used to measure the quality of the test suite quantitatively; the ideal mutation score should be 100% or 1 i.e. all the mutants are killed by the test suites. Mutation Score = (No. of killed mutants/total no. of mutants) * 100%

Are test cases mutation adequate?

Test cases are mutation adequate if the score is 100%. Experimental results have shown that mutation testing is an effective approach for measuring the adequacy of the test cases. But, the main drawback is that the high cost of generating the mutants and executing each test case against that mutant program.

How do I improve my mutation score?

Now that we know what a mutation is, we need to improve our mutation score by killing the surviving mutants. Let's take the first mutation – negated conditional – on line 6 as an example. The mutant survived because even if we change the code snippet: The test will pass, and that's why the mutation survived.

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