Combined classifier for cross-project defect prediction: an extended empirical study
نویسندگان
چکیده
منابع مشابه
Cross-project defect prediction
Prediction of software defects works well within projects as long as there is a sufficient amount of data available to train any models. However, this is rarely the case for new software projects and for many companies. So far, only a few have studies focused on transferring prediction models from one project to another. In this paper, we study cross-project defect prediction models on a large ...
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In recent years, cross-project defect prediction (CPDP) has become very popular in the field of software defect prediction. It was treated as a binary classification or regression problem in most of previous studies. However, the existing methods to solve this problem may be not suitable for those projects with limited manpower and time. In this paper, we revisit the issue and treat it as a ran...
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There is a connection between static source code metrics, for example, lines of code or cyclomatic complexity and potential defects in the source code. Obviously, there is no closed formula, but with the field of machine learning and its techniques we have a tool at our disposal that has the ability to infer rules from large amounts of data. In this thesis, we use machine learning techniques to...
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ژورنال
عنوان ژورنال: Frontiers of Computer Science
سال: 2018
ISSN: 2095-2228,2095-2236
DOI: 10.1007/s11704-017-6015-y