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• W2912086532 endingPage "212" @default.
• W2912086532 startingPage "212" @default.
• W2912086532 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." @default.
• W2912086532 created "2019-02-21" @default.
• W2912086532 creator A5008082871 @default.
• W2912086532 creator A5026145961 @default.
• W2912086532 creator A5028897862 @default.
• W2912086532 creator A5030174262 @default.
• W2912086532 creator A5046289188 @default.
• W2912086532 creator A5076762390 @default.
• W2912086532 date "2019-02-13" @default.
• W2912086532 modified "2023-10-03" @default.
• W2912086532 title "Empirical Study of Software Defect Prediction: A Systematic Mapping" @default.
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