Сравнение методов
Просматривайте выбранные методы рядом; строки с различиями подсвечены.
| Модель надежности программного обеспечения× | Анализ покрытия кода× | |
|---|---|---|
| Область | Программная инженерия | Программная инженерия |
| Семейство | Process / pipeline | Process / pipeline |
| Год появления≠ | 1979 | 1988 |
| Автор метода≠ | Alok Goel and Kazuhira Okumoto | Test Coverage Community |
| Тип≠ | stochastic model | measurement and analysis |
| Основополагающий источник≠ | 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 ↗ | 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 ↗ |
| Другие названия | reliability growth model, failure rate prediction, SRGM | coverage metrics, test coverage, instrumentation-based measurement |
| Связанные | 4 | 4 |
| Сводка≠ | 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. |
| ScholarGateНабор данных ↗ |
|
|