Metrics in Testing
Exploring the limitations of pure code coverage tools, Marc highlights the importance of mutation testing to ensure unit tests validate code behavior effectively. He emphasizes the significance of cyclomatic complexity as a metric for understanding testing requirements, revealing how missed complexity can indicate the number of additional unit tests needed for comprehensive coverage. This discussion sheds light on the true cost of achieving quality in software testing.In this clip
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SE-Radio Episode 324: Marc Hoffmann on Code Test Coverage Analysis and Tools
Related Questions
What tools can I use to measure progress in code test coverage analysis and tools as discussed in SE-Radio Episode 324: Marc Hoffmann on Code Test Coverage Analysis and Tools and Jenkins Plugin Insights?
What tools can I use to measure progress in code test coverage analysis and tools as discussed in SE-Radio Episode 324: Marc Hoffmann on Code Test Coverage Analysis and Tools and Jenkins Plugin Insights?
What is code coverage?