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Model Kebolehpercayaan Perisian×Metrik Kompleksiti Perisian×
BidangKejuruteraan PerisianKejuruteraan Perisian
KeluargaProcess / pipelineProcess / pipeline
Tahun asal19791976
PengasasAlok Goel and Kazuhira OkumotoThomas J. McCabe
Jenisstochastic modelquantitative measurement
Sumber perintisGoel, A. L., & Okumoto, K. (1979). Time-dependent error-detection rate model for software reliability and other performance measures. IEEE Transactions on Reliability, 28(3), 206–211. DOI ↗McCabe, T. J. (1976). A complexity measure. IEEE Transactions on Software Engineering, 2(4), 308–320. DOI ↗
Aliasreliability growth model, failure rate prediction, SRGMcode complexity analysis, complexity measurement
Berkaitan44
RingkasanSoftware reliability models predict the behavior of failure rates during testing and operation, estimating when software achieves required reliability targets. Introduced by Goel and Okumoto (1979), these stochastic models capture how defect discovery declines as testing progresses. Organizations use reliability models to forecast release readiness, estimate testing duration, and validate quality achievement.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.
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ScholarGateBandingkan kaedah: Software Reliability Model · Software Complexity Metrics. Dicapai 2026-06-15 daripada https://scholargate.app/ms/compare