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Testing & QA
Unit tests, integration tests, E2E, QA, validation, and test automation
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- Verbose"Quality" is unmanageable until it is a set of numbers with agreed definitions. Four measures cover most of what teams need, and each answers a different question.Votes: 0GitHub stars: 2
- MinimalMake quality a measured property of the delivery system rather than an opinion held at the end of a sprint.Votes: 0GitHub stars: 2
- MinimalDocument follow-up work and testing needs after implementationVotes: 0GitHub stars: 2
- VerboseLine coverage answers "did this line execute during the test run". That is a much weaker claim than "if this line were wrong, a test would fail" — and the second is the only claim anyone actually cares about. The gap between them is where escaped bugs live.Votes: 0GitHub stars: 2
- MinimalDesign the automated path from raw data to a registered, deployable model — reproducibly, so any past model can be rebuilt from what you recorded.Votes: 0GitHub stars: 2
- VerboseImbalance is not itself a problem — it is a symptom that the default loss and the default threshold are misaligned with the cost structure. Establish three numbers before touching a sampler:Votes: 0GitHub stars: 2
- MinimalBuild and evaluate classifiers when the class of interest is rare, where accuracy is uninformative and the default 0.5 threshold is arbitrary.Votes: 0GitHub stars: 2
- VerboseA flaky test is one that produces different results on unchanged code and an unchanged environment. The instinct is to treat each one as a small local annoyance. The arithmetic says otherwise, because independent failure probabilities compound across the suite:Votes: 0GitHub stars: 2
- MinimalCombine multiple models so their errors cancel, choosing the combination scheme from which part of the error — variance or bias — you actually need to reduce.Votes: 0GitHub stars: 2
- MinimalServe content from the edge so it is fast and cheap — which depends entirely on getting cache headers, keys, and invalidation right, not on merely turning a CDN on.Votes: 0GitHub stars: 2
- VerboseReduction is a trade, not an improvement. You give up interpretability and some signal in exchange for speed, decorrelation, or a picture. Reach for it when at least one of these holds:Votes: 0GitHub stars: 2
- VerboseDebugging is the scientific method under time pressure. The loop is: observe a fact, form a hypothesis that explains it, design the cheapest experiment that can *disprove* the hypothesis, run it, update.Votes: 0GitHub stars: 2
- MinimalEstimate how a model will perform on data it has not seen, without letting information from the validation fold leak into training.Votes: 0GitHub stars: 2
- VerboseThe single highest-leverage convention in code review is prefixing every comment with its severity. Without it, the author must reverse-engineer your intent, and the safe default is to treat everything as blocking — which is how a two-nit review turns into another round trip.Votes: 0GitHub stars: 2
- Testing StrategiesThree shapes get argued about as if one were correct.Votes: 0GitHub stars: 2
- Test Mocking RulesComprehensive guidelines for when and how to use mocks, stubs, and fakes in testsVotes: 0GitHub stars: 2
- Root Cause Five Whys1.Votes: 0GitHub stars: 2
- Quality Assurance\"Quality\" is unmanageable until it is a set of numbers with agreed definitions.Votes: 0GitHub stars: 2
- Post Implementation ChecklistComprehensive checklist for documenting follow-up work and testing needs after implementationVotes: 0GitHub stars: 2
- Mutation TestingLine coverage answers \"did this line execute during the test run\".Votes: 0GitHub stars: 2
- Imbalanced ClassificationImbalance is not itself a problem — it is a symptom that the default loss and theVotes: 0GitHub stars: 2
- Flaky Test RemediationA flaky test is one that produces different results on unchanged code and anVotes: 0GitHub stars: 2
- Dimensionality ReductionReduction is a trade, not an improvement.Votes: 0GitHub stars: 2
- Debugging MethodologyDebugging is the scientific method under time pressure.Votes: 0GitHub stars: 2