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Code Coverage - A Dump Metric
Thomas Rothe gave a presentation at BRI Corporate University on March 12th 2020 about code coverage and how it is an imperfect metric for measuring code quality. He discussed that while code coverage can help find bugs, solely focusing on reaching 100% coverage may not be effective. Instead, he advocated testing high risk areas of code and prioritizing increasing test coverage over time to improve quality without requiring full coverage. Mutation testing was also presented as an alternative technique for evaluating test effectiveness.
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Code Coverage - A Dump Metric
- 1. DevOpsDays Jakarta 2020 CodeCoverage – A Dump Metric by Thomas Rothe BRI Corporate University, March 12th 2020
- 2. CODE COVERAGE –A DUMP METRIC For Code Quality Thomas Rothe
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- 4. Code Coverage isnot a bad metric - It's just a dump one!
- 5. Fixing (and finding)bugs late is costly
- 6. Code Coverage Is ameasure used in software testing. It describes the degree to which the source code of a program has been tested. https://en.wikipedia.org/wiki/Code_coverage
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- 9. The Sneaky DeveloperThe Metric Lovin’ Manager
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- 12. Why? Why do weneed Code Coverage ____________________________________________ To Ensure Quality Minimize Bugs/Defects Early detection of flaws Avoid Cost due to Rework and Delay Higher Confidence Everyone Happy
- 13. Software Negligence &Testing Coverage, Cem Kraner, 1995 The question is, what's wrong with this argument?
- 14. The Tragedy of 100% CodeCoverage
- 15. How to reach100% Code Coverage ____________________________________________ Every line of source code covered Every underlying dependency is covered Every possible representative input is covered Every branch, condition and statement is covered Every unexpected and error case is covered
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- 17. Do we reallyneed 100% Code Coverage? ____________________________________________ Every high risk area is covered Every Sprint we increase our test suite and coverage Every test is valuable
- 18. Program Mutant 1 Mutant 2 Mutant3 Test Suite 4. Compare Test Suite Same Same Different (“killed”) 1. Test 3. Test Test Outputs Test Outputs 2. Mutation Operation Adequacy: = #Different / total = 1/3 = 33% Mutation Testing Reruns unit tests against modified version of your code
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- 22. DevOpsDays Jakarta 2020 PlatinumSponsors
- 23. DevOpsDays Jakarta 2020 GoldSponsors
- 24. DevOpsDays Jakarta 2020 SilverSponsors
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- 27. DevOpsDays Jakarta 2020 MediaPartners
- 28. Stay Connected @IDDevOps @IDDevOps@IDDevOps DevOps Indonesia DevOps Indonesia DevOps Indonesia
- 29. THANK YOU ! AloneWe are smart, together We are brilliant