Porovnat metody

	Model spolehlivosti softwaru	Analýza pokrytí kódu
Obor	Softwarové inženýrství	Softwarové inženýrství
Rodina	Process / pipeline	Process / pipeline
Rok vzniku	1979	1988
Tvůrce	Alok Goel and Kazuhira Okumoto	Test Coverage Community
Typ	stochastic model	measurement and analysis
Původní zdroj	Goel, 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.	Zhu, H., Hall, P. A. V., & May, J. H. R. (1997). Software unit test coverage and adequacy. ACM Computing Surveys, 29(4), 366–427.
Další názvy	reliability growth model, failure rate prediction, SRGM	coverage metrics, test coverage, instrumentation-based measurement
Příbuzné	4	4
Shrnutí	Software 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.