An optimized method for software reliability model based on nonhomogeneous Poisson process

DOI10.1016/j.apm.2016.01.016zbMath1465.68052OpenAlexW2295715274MaRDI QIDQ2292349

Zhan Zhang, Jinyong Wang, Yan-Jun Shu, Zhi-Bo Wu

Publication date: 3 February 2020

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

Full work available at URL: https://doi.org/10.1016/j.apm.2016.01.016

zbMATH Keywords

software reliabilitysoftware reliability modelnonhomogeneous Poisson process (NHPP)optimized model approach

Mathematics Subject Classification ID

Reliability and life testing (62N05) Point processes (e.g., Poisson, Cox, Hawkes processes) (60G55) Mathematical aspects of software engineering (specification, verification, metrics, requirements, etc.) (68N30)

Related Items (3)

A new reliability model based on Lindley distribution with application to failure data ⋮ NHPP software reliability model considering the uncertainty of operating environments with imperfect debugging and testing coverage ⋮ Reliability evaluation based on a dependent two-stage failure process with competing failures

Uses Software

• NHPP

Cites Work

• Comparisons of nonhomogeneous Poisson process software reliability models and its applications
• 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
• 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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