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Model Keandalan Perangkat Lunak×Analisis Cakupan Kode×
BidangRekayasa Perangkat LunakRekayasa Perangkat Lunak
KeluargaProcess / pipelineProcess / pipeline
Tahun asal19791988
PencetusAlok Goel and Kazuhira OkumotoTest Coverage Community
Tipestochastic modelmeasurement and analysis
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 ↗Zhu, H., Hall, P. A. V., & May, J. H. R. (1997). Software unit test coverage and adequacy. ACM Computing Surveys, 29(4), 366–427. DOI ↗
Aliasreliability growth model, failure rate prediction, SRGMcoverage metrics, test coverage, instrumentation-based measurement
Terkait44
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.Code 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.
ScholarGateSet data
  1. v1
  2. 3 Sumber
  3. PUBLISHED
  1. v1
  2. 3 Sumber
  3. PUBLISHED

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ScholarGateBandingkan metode: Software Reliability Model · Code Coverage Analysis. Diakses 2026-06-15 dari https://scholargate.app/id/compare