Using active learning selection approach for cross-project software defect prediction
Connection Science, 2022 Cross-project defect prediction (CPDP) technology can effectively ensure software quality, which plays an important role in software engineering. When encountering a newly developed project with insufficient training data, CPDP can be used to build ...
Wenbo Mi, Yong Li, Ming Wen, Youren Chen
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Dissimilarity Space Based Multi-Source Cross-Project Defect Prediction
Algorithms, 2019 Software defect prediction is an important means to guarantee software quality. Because there are no sufficient historical data within a project to train the classifier, cross-project defect prediction (CPDP) has been recognized as a fundamental approach.
Shengbing Ren +3 more
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Cross–Project Defect Prediction With Respect To Code Ownership Model: An Empirical Study [PDF]
e-Informatica Software Engineering Journal, 2015 The paper presents an analysis of 83 versions of industrial, open-source and academic projects. We have empirically evaluated whether those project types constitute separate classes of projects with regard to defect prediction.
Marian Jureczko, Lech Madeyski
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Heterogeneous Cross-Project Defect Prediction Using Encoder Networks and Transfer Learning [PDF]
IEEE AccessHeterogeneous cross-project defect prediction (HCPDP) aims to predict defects in new software projects using defect data from previous software projects where the source and target projects have some different metrics.
Radowanul Haque +4 more
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A Cross-Project Defect Prediction Model Based on Deep Learning With Self-Attention
IEEE Access, 2022 Cross-project defect prediction technique is a hot topic in the field of software defect research because of the huge difference in data distribution between source project and target project.
Wanzhi Wen +6 more
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Cross-Project Defect Prediction: A Literature Review
IEEE Access, 2022 Background: Software defect prediction models aim at identifying the potential faulty modules of a software project based on historical data collected from previous versions of the same project.
Sourabh Pal, Alberto Sillitti
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Deep Learning-Based Defect Prediction for Mobile Applications
Sensors, 2022 Smartphones have enabled the widespread use of mobile applications. However, there are unrecognized defects of mobile applications that can affect businesses due to a negative user experience. To avoid this, the defects of applications should be detected
Manzura Jorayeva +3 more
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Too trivial to test? An inverse view on defect prediction to identify methods with low fault risk [PDF]
PeerJ Computer Science, 2019 Background Test resources are usually limited and therefore it is often not possible to completely test an application before a release. To cope with the problem of scarce resources, development teams can apply defect prediction to identify fault-prone ...
Rainer Niedermayr +2 more
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An Empirical Study on Software Defect Prediction Using CodeBERT Model
Applied Sciences, 2021 Deep learning-based software defect prediction has been popular these days. Recently, the publishing of the CodeBERT model has made it possible to perform many software engineering tasks.
Cong Pan, Minyan Lu, Biao Xu
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Class Imbalance Reduction and Centroid based Relevant Project Selection for Cross Project Defect Prediction [PDF]
, 2023 Cross-Project Defect Prediction (CPDP) is the process of predicting defects in a target project using information from other projects. This can assist developers in prioritizing their testing efforts and finding flaws.
Sai Priyanka Kanchanapally +5 more
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