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Mjukvarupålitlighetsmodeller×Ekvivalenspartitioneringstestning×
ÄmnesområdeProgramvaruteknikProgramvaruteknik
FamiljProcess / pipelineProcess / pipeline
Ursprungsår19791979
UpphovspersonAlok Goel and Kazuhira OkumotoGlenford Myers
Typstochastic modelpartitioning strategy
UrsprungskällaGoel, 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 ↗Myers, G. J. (1979). The Art of Software Testing. John Wiley & Sons. link ↗
Aliasreliability growth model, failure rate prediction, SRGMequivalence partitioning, BVA, boundary value analysis
Närliggande44
SammanfattningSoftware 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.Equivalence partitioning divides input domains into equivalence classes—sets of inputs expected to behave identically—then selects test cases from each class. Introduced by Myers (1979), this technique reduces test cases while maintaining effectiveness. Boundary value analysis (BVA) complements partitioning by testing values at partition boundaries where failures often occur.
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ScholarGateJämför metoder: Software Reliability Model · Equivalence Partitioning Testing. Hämtad 2026-06-15 från https://scholargate.app/sv/compare