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Analisis Liputan Kod×Metrik Kompleksiti Perisian×
BidangKejuruteraan PerisianKejuruteraan Perisian
KeluargaProcess / pipelineProcess / pipeline
Tahun asal19881976
PengasasTest Coverage CommunityThomas J. McCabe
Jenismeasurement and analysisquantitative measurement
Sumber perintisZhu, H., Hall, P. A. V., & May, J. H. R. (1997). Software unit test coverage and adequacy. ACM Computing Surveys, 29(4), 366–427. DOI ↗McCabe, T. J. (1976). A complexity measure. IEEE Transactions on Software Engineering, 2(4), 308–320. DOI ↗
Aliascoverage metrics, test coverage, instrumentation-based measurementcode complexity analysis, complexity measurement
Berkaitan44
RingkasanCode coverage analysis measures the extent to which source code is executed by a test suite, quantifying which lines, branches, or paths are exercised. Tools instrument code to track execution, reporting coverage percentages and identifying untested regions. Coverage analysis guides test creation, detects dead code, and validates test adequacy in quality assurance processes.Software complexity metrics quantify the structural and operational difficulty of code through numerical measurements. Introduced by Thomas McCabe in 1976, cyclomatic complexity became the foundational approach. These metrics assess maintainability, testability, and defect risk, enabling teams to identify problematic code regions and guide refactoring efforts.
ScholarGateSet data
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  1. v1
  2. 3 Sumber
  3. PUBLISHED

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ScholarGateBandingkan kaedah: Code Coverage Analysis · Software Complexity Metrics. Dicapai 2026-06-15 daripada https://scholargate.app/ms/compare