Results 11 to 20 of about 16,855 (254)
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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Within-project and cross-project defect prediction based on model averaging [PDF]
Scientific ReportsSoftware defect prediction has an important impact on the national economy and financial service industry. Discovering defective modules in the early stage of software development has great significance.
Tong Li, Zhong Wang, Peibei Shi
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Heterogeneous Cross-Project Defect Prediction via Optimal Transport
IEEE Access, 2023 Heterogeneous cross-project defect prediction (HCPDP) aims to learn a prediction model from a heterogeneous source project and then apply the model to a target project.
Xing Zong +5 more
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DeepCPDP: Deep Learning Based Cross-Project Defect Prediction [PDF]
IEEE Access, 2019 Cross-project defect prediction (CPDP) is an active research topic in the domain of software defect prediction, since CPDP can be applied to the following scenarios: the target project for software defect prediction is a new project or the target project
Deyu Chen +4 more
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Cross-Project Defect Prediction with Metrics Selection and Balancing Approach
Applied Computer Systems, 2022 In software development, defects influence the quality and cost in an undesirable way. Software defect prediction (SDP) is one of the techniques which improves the software quality and testing efficiency by early identification of defects(bug/fault/error)
Nevendra Meetesh, Singh Pradeep
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Balanced Adversarial Tight Matching for Cross-Project Defect Prediction
IET SoftwareCross-project defect prediction (CPDP) is an attractive research area in software testing. It identifies defects in projects with limited labeled data (target projects) by utilizing predictive models from data-rich projects (source projects).
Siyu Jiang +4 more
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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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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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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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