Effect of change point and imperfect debugging in software reliability and its optimal release policy

This article presents a software reliability growth model based on non-homogeneous Poisson process. The main focus of this article is to deliver a method for software reliability modelling incorporating the concept of time-dependent fault introduction and fault removal rate with change point. Also i...

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Veröffentlicht in:Mathematical and computer modelling of dynamical systems Jg. 18; H. 5; S. 539 - 551
Hauptverfasser: Chatterjee, Subhashis, Nigam, Shobhit, Singh, Jeetendra Bahadur, Upadhyaya, Lakshmi Narayan
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Abingdon Taylor & Francis 01.10.2012
Taylor & Francis Ltd
Schlagworte:
change point
Dynamical systems
Faults
Growth models
imperfect debugging
Mathematical models
Modelling
non-homogeneous Poisson process
optimal release policy
Optimization
Poisson distribution
Policies
Queuing theory
Software reliability
Studies
ISSN:1387-3954, 1744-5051
Online-Zugang:Volltext
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Zusammenfassung:This article presents a software reliability growth model based on non-homogeneous Poisson process. The main focus of this article is to deliver a method for software reliability modelling incorporating the concept of time-dependent fault introduction and fault removal rate with change point. Also in this article, a cost model with change point has been developed. Based on the cost model optimal release policy with change point has been discussed. Maximum likelihood technique has been applied to estimate the parameters of the model. The proposed model has been validated using some real software failure data. Comparison has been made with models incorporating change point and without change point. The application of the proposed cost model has been shown using some numerical examples.
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ISSN:1387-3954
1744-5051
DOI:10.1080/13873954.2012.678011