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Evolving Software Processes
book

Evolving Software Processes

by Arif Ali Khan, Dac-Nhuong Le
February 2022
Intermediate to advanced content levelIntermediate to advanced
320 pages
9h 55m
English
Wiley-Scrivener
Content preview from Evolving Software Processes

5Modeling Multi-Release Open Source Software Reliability Growth Process with Generalized Modified Weibull Distribution

VISHAL PRADHAN1, AJAY KUMAR1, JOYDIP DHAR1

1 Department of Applied Sciences, ABV-Indian Institute of Information Technology and Management, Gwalior, India

Email: vishalp@iiitm.ac.in, vishal.iiitmg@gmail.com

Abstract

To stay competitive in the industry, software companies are constantly adding new features and upgrading their software. In the last few years, open source software (OSS) has gained a lot of attention because it is free and easy to use. Closed source commercial projects follow a somewhat different protocol than open source projects. The frequency of OSS releases is high. As a result, the multi-release software reliability growth model (SRGM) has been addressed in this study. A non-homogeneous Poisson process (NHPP)-based model is built for reliability analysis, assuming that the software failure distribution is defined by a generalized modified Weibull distribution (GMWD). The experimental results are based on bug tracking data from a common open source project’s multi-release failure dataset. The proposed model’s efficiency is calculated based on the experimental results. The proposed model is an efficient reliability model for multi-release OSS, according to the results. The model presented in this study is extremely useful for assessing the reliability of OSS.

Keywords: Non-homogeneous Poisson process, software testing, software reliability growth ...

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Publisher Resources

ISBN: 9781119821267Purchase Link