What are the limitations of mutation testing?
An example of an AI chatbot conversation about mutation testing limitations.
What are the limitations of mutation testing?
Mutation testing is powerful, but it has limitations such as high computational cost and potential for false positives.
Can you explain why the computational cost is a limitation?
Sure! Mutation testing requires executing a large number of test cases, which can be time-consuming and resource-intensive.
Are there specific scenarios where mutation testing is not effective?
Yes, mutation testing may not be effective in projects with limited test coverage or in very large codebases due to the overhead.
What alternatives exist to mutation testing?
Alternatives include code coverage analysis, static analysis tools, and traditional unit testing, each with its own strengths.
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