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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

Shozab Khurshid, A.K. Shrivastava, Javaid Iqbal
Copyright: © 2019 |Volume: 7 |Issue: 4 |Pages: 22
ISSN: 2166-7160|EISSN: 2166-7179|EISBN13: 9781522568292|DOI: 10.4018/IJSI.2019100105
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MLA

Khurshid, Shozab, et al. "Generalized Multi-Release Framework for Fault Prediction in Open Source Software." IJSI vol.7, no.4 2019: pp.86-107. http://doi.org/10.4018/IJSI.2019100105

APA

Khurshid, S., Shrivastava, A., & Iqbal, J. (2019). Generalized Multi-Release Framework for Fault Prediction in Open Source Software. International Journal of Software Innovation (IJSI), 7(4), 86-107. http://doi.org/10.4018/IJSI.2019100105

Chicago

Khurshid, Shozab, A.K. Shrivastava, and Javaid Iqbal. "Generalized Multi-Release Framework for Fault Prediction in Open Source Software," International Journal of Software Innovation (IJSI) 7, no.4: 86-107. http://doi.org/10.4018/IJSI.2019100105

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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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