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:: Volume 10, Issue 1 (8-2016) ::
JSS 2016, 10(1): 1-20 Back to browse issues page
A Generalized Model for Software Reliability Evaluation Based on Non-Homogeneous Poisson Process
Shiva Akhtarian , Tahere Yaghoobi *
Abstract:   (12627 Views)

Given the widespread usage of software systems in all aspects of modern life, the need to produce almost error free and high quality software has become more and more important. Software reliability is considered as an important approach to software quality assessment. Software reliability modeling based on non- homogeneous Poisson process is a quite successful method in software reliability engineering. In this paper, we first study the general growth model of software reliability, and then we extend the general model by considering two types of simple and complex errors, dependency between complex errors and time delay between detecting and removing complex errors. Estimating the model parameters has been done by using two failure data sets of real software projects through MATLAB software. We compare the proposed model with two existing models using various criteria. The results show that the proposed model better fits the data, providing more accurate information about the software quality.

Keywords: Software reliability, Non homogenous Poisson process, Minor and critical errors, Fault dependency, Time lags, Perfect debugging
Full-Text [PDF 1027 kb]   (3169 Downloads)    
Type of Study: Research | Subject: Reliability
Received: 2013/11/3 | Accepted: 2015/09/15 | Published: 2015/09/15
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Akhtarian S, Yaghoobi T. A Generalized Model for Software Reliability Evaluation Based on Non-Homogeneous Poisson Process. JSS 2016; 10 (1) :1-20
URL: http://jss.irstat.ir/article-1-250-en.html


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Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
Volume 10, Issue 1 (8-2016) Back to browse issues page
مجله علوم آماری – نشریه علمی پژوهشی انجمن آمار ایران Journal of Statistical Sciences

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