Why Test Coverage Metrics Lie About Code Quality
from Software Testing with Fexingo: QA, Automation, and Reliable Software Engineering Hosted by Fexingo
Lucas and Luna dive into a dangerous habit in software quality: chasing high test coverage percentages. Lucas explains why code coverage numbers often mask untested logic paths, citing a 2024 study showing that 40% of 'covered' lines in real-world JavaScript projects had zero assertions. They discuss structural versus decision coverage, the trap of mocking everything, and why a 70% line coverage with strong assertions beats 95% with shallow tests. Luna brings in a case from a fintech startup where high coverage gave false confidence before a production bug wiped out a payment flow. Practical takeaway: measure coverage by what your tests actually verify, not just which lines they hit. #TestCoverage #CodeCoverage #SoftwareTesting #QA #UnitTesting #FalseConfidence #MutationTesting #AssertionCoverage #LineCoverage #BranchCoverage #ProductionBugs #Fintech #JavaScript #TestingMetrics #Technology #FexingoBusiness #BusinessPodcast #ReliableSoftware Keep every episode free: buymeacoffee.com/fexingo
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