Software reliability growth model with change-point and effort control using a power function of the testing time
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Publication:5444639
DOI10.1080/00207540600926113zbMath1128.90394OpenAlexW2157893716MaRDI QIDQ5444639
P. K. Kapur, V. B. Singh, Sameer Anand, Venkata S. S. Yadavalli
Publication date: 25 February 2008
Published in: International Journal of Production Research (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/00207540600926113
stochastic modelssoftware engineeringsoftware reliability growth modelschange-pointnon-homogeneous Poisson processreliability engineering
Related Items (6)
Modeling and analysis of software fault detection and correction process through Weibull-type fault reduction factor, change point and imperfect debugging ⋮ Sensitivity analysis of release time of software reliability models incorporating testing effort with multiple change-points ⋮ Software reliability analysis and assessment using queueing models with multiple change-points ⋮ NHPP-based software reliability growth modeling and optimal release policy for N-version programming system with increasing fault detection rate under imperfect debugging ⋮ A unified modeling framework incorporating change-point for measuring reliability growth daring software testing ⋮ Effect of change point and imperfect debugging in software reliability and its optimal release policy
Uses Software
Cites Work
- Software reliability growth models for testing-effort control
- A general theory of software-reliability modeling
- Time-Dependent Error-Detection Rate Model for Software Reliability and Other Performance Measures
- Software-reliability growth with a Weibull test-effort: a model and application
- Contributions to Hardware and Software Reliability
- Change-point problems in software and hardware reliability
- ESTIMATION OF PARAMETERS FOR NONHOMOGENEOUS POISSON PROCESS: SOFTWARE RELIABILITY WITH CHANGE-POINT MODEL
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