The Comparison of Imbalanced Data Handling Method in Software Defect Prediction
نویسندگان
چکیده
منابع مشابه
Software Defect Prediction for High-Dimensional and Class-Imbalanced Data
Software quality and reliability can be improved using various techniques during the software development process. One effective method is to utilize software metrics and defect data collected during the software development life cycle and build defect predictors using data mining techniques to estimate the quality of target program modules. Such a strategy allows practitioners to intelligently...
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Software defect prediction work focuses on the number of defects remaining in a software system. A prediction of the number of remaining defects in an inspected artefact can be used for decision making. An accurate prediction of the number of defects in a software product during system testing contributes not only to the management of the system testing process but also to the estimation of the...
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چکیده ندارد.
15 صفحه اولA Comparison Framework of Classification Models for Software Defect Prediction
A software defect is an error, failure, or fault in a software [1], that produces an incorrect or unexpected result, or causes it to behave in unintended ways. It is a deficiency in a software product that causes it to perform unexpectedly [2]. Software defects or software faults are expensive in quality and cost. Moreover, the cost of capturing and correcting defects is one of the most expensi...
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ژورنال
عنوان ژورنال: Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control
سال: 2020
ISSN: 2503-2267,2503-2259
DOI: 10.22219/kinetik.v5i3.1049