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
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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