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Testability Indicators for Refactoring
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AI
DOI：10.1007/978-3-032-05188-2_5.png)
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Abstract
En 中文
Effective testing depends on the testability of the system under test, yet current practice for assessing testability remains ad-hoc and fragmented. We introduce a multi-level bundle of testability indicators that map directly to actionable code refactorings and DevOps tweaks. Architecture, code, runtime observability, and process patterns are operationalised through metrics such as CBO, log-event density, and mutation score.Recurring indicator constellations surface testability smells, each linked to ranked, low-cost remedies. A prototype recommender couples RefactoringMiner with a random-forest classifier to automate smell detection and action ranking. We evaluate the approach on 12 open-source projects and one industrial microservice. Preliminary results show significant, sustained indicator improvements after targeted refactorin
Keywords:
Software testability
Refactoring
Metrics
EmpiricalSE