विधियों की तुलना करें

	सॉफ्टवेयर विश्वसनीयता मॉडल	सॉफ्टवेयर जटिलता मेट्रिक्स
क्षेत्र	सॉफ्टवेयर इंजीनियरिंग	सॉफ्टवेयर इंजीनियरिंग
परिवार	Process / pipeline	Process / pipeline
उद्भव वर्ष	1979	1976
प्रवर्तक	Alok Goel and Kazuhira Okumoto	Thomas J. McCabe
प्रकार	stochastic model	quantitative measurement
मौलिक स्रोत	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.	McCabe, T. J. (1976). A complexity measure. IEEE Transactions on Software Engineering, 2(4), 308–320.
उपनाम	reliability growth model, failure rate prediction, SRGM	code complexity analysis, complexity measurement
संबंधित	4	4
सारांश	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.	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.