Порівняння методів
Переглядайте обрані методи поруч; рядки з відмінностями підсвічено.
| Моделі надійності програмного забезпечення× | Метрики складності програмного забезпечення× | |
|---|---|---|
| Галузь | Програмна інженерія | Програмна інженерія |
| Родина | Process / pipeline | Process / pipeline |
| Рік появи≠ | 1979 | 1976 |
| Автор методу≠ | Alok Goel and Kazuhira Okumoto | Thomas J. McCabe |
| Тип≠ | stochastic model | quantitative measurement |
| Основоположне джерело≠ | 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. DOI ↗ | McCabe, T. J. (1976). A complexity measure. IEEE Transactions on Software Engineering, 2(4), 308–320. DOI ↗ |
| Інші назви≠ | reliability growth model, failure rate prediction, SRGM | code complexity analysis, complexity measurement |
| Пов'язані | 4 | 4 |
| Підсумок≠ | 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. |
| ScholarGateНабір даних ↗ |
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