Enhancing software reliability modeling and prediction through the introduction of time-variable fault reduction factor

DOI10.1016/J.APM.2010.07.017zbMath1202.90102OpenAlexW2039444758MaRDI QIDQ614444

Chin-Yu Huang, Chao-Jung Hsu, Jun-Ru Chang

Publication date: 27 December 2010

Published in: Applied Mathematical Modelling (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.apm.2010.07.017

zbMATH Keywords

software testingfault reduction factor (FRF)non-homogeneous Poisson process (NHPP)optimal release timesoftware reliability growth model (SRGM)

Mathematics Subject Classification ID

Reliability, availability, maintenance, inspection in operations research (90B25) Reliability and life testing (62N05) Mathematical aspects of software engineering (specification, verification, metrics, requirements, etc.) (68N30)

Related Items (6)

Modeling and analysis of software fault detection and correction process through Weibull-type fault reduction factor, change point and imperfect debugging ⋮ Enhancing the accuracy of software reliability prediction through quantifying the effect of test phase transitions ⋮ Software reliability growth model with partial differential equation for various debugging processes ⋮ NHPP software reliability model considering the uncertainty of operating environments with imperfect debugging and testing coverage ⋮ Testing effort based software reliability assessment incorporating FRF and change point ⋮ Incorporating inflection S-shaped fault reduction factor to enhance software reliability growth

Uses Software

• CARATS

Cites Work

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• Sensitivity analysis of release time of software reliability models incorporating testing effort with multiple change-points
• A generalized JM model with applications to imperfect debugging in software reliability
• Flexible software reliability growth model with testing effort dependent learning process
• A flexible stochastic differential equation model in distributed development environment
• Analysis of Software Reliability Modeling Considering Testing Compression Factor and Failure-to-Fault Relationship

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