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Generalized Multi-Release Framework for Fault Prediction in Open Source Software

Generalized Multi-Release Framework for Fault Prediction in Open Source Software
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Author(s): Shozab Khurshid (University of Kashmir, Srinagar, India), A.K. Shrivastava (International Management Institute, Kolkata, West Bengal, India)and Javaid Iqbal (University of Kashmir, Srinagar, India)
Copyright: 2021
Pages: 23
Source title: Research Anthology on Usage and Development of Open Source Software
Source Author(s)/Editor(s): Information Resources Management Association (USA)
DOI: 10.4018/978-1-7998-9158-1.ch037

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Abstract

Software developing communities are shifting to open source software (OSS) because of the reason that software development takes place in successive releases, thereby improving its quality and reliability. Multi-release development of OSS can provide an opportunity to inculcate the dynamic needs of the user in a very short span of time to survive in the market. In spite of having these benefits, numerous challenges can be faced during the multi-release OSS development. Some of the challenges can be the generation of errors during the addition of new features. To address the changing fault detection process, a change point phenomenon is considered so as to give more practicality to the model. In this article, we present a general framework for multi-release OSS modelling incorporating imperfect debugging and change points. Parameter estimation and model validation is done on the three releases of Apache, an open source software project.

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