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Symmetry 2019, 11(2), 212; https://doi.org/10.3390/sym11020212

Empirical Study of Software Defect Prediction: A Systematic Mapping

1
Institute of Research and Development, Duy Tan University, Da Nang 550000, Vietnam
2
VNU Information Technology Institute, Vietnam National University, Hanoi 122400, Vietnam
3
Leading Pseudo Code Labs, Delhi 110012, India
4
Department of Computer Science and Engineering, Advanced Communication Technologies and Research, Delhi 110012, India
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Department of Computer Science and Engineering, LNCT Group of College, Jabalpur 482001, MP, India
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VNU University of Science, Vietnam National University, Hanoi 122400, Vietnam
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Division of Data Science, Ton Duc Thang University, Ho Chi Minh City 700000, Vietnam
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Faculty of Information Technology, Ton Duc Thang University, Ho Chi Minh City 700000, Vietnam
*
Author to whom correspondence should be addressed.
Received: 3 January 2019 / Revised: 24 January 2019 / Accepted: 2 February 2019 / Published: 13 February 2019
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Abstract

Software defect prediction has been one of the key areas of exploration in the domain of software quality. In this paper, we perform a systematic mapping to analyze all the software defect prediction literature available from 1995 to 2018 using a multi-stage process. A total of 156 studies are selected in the first step, and the final mapping is conducted based on these studies. The ability of a model to learn from data that does not come from the same project or organization will help organizations that do not have sufficient training data or are going to start work on new projects. The findings of this research are useful not only to the software engineering domain, but also to the empirical studies, which mainly focus on symmetry as they provide steps-by-steps solutions for questions raised in the article. View Full-Text
Keywords: defect; machine learning; systematic literature mapping; verification; prediction; software metrics; security defect; machine learning; systematic literature mapping; verification; prediction; software metrics; security
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Son, L.H.; Pritam, N.; Khari, M.; Kumar, R.; Phuong, P.T.M.; Thong, P.H. Empirical Study of Software Defect Prediction: A Systematic Mapping. Symmetry 2019, 11, 212.

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