Results 1 to 10 of about 153,248 (153)
On the use of deep learning in software defect prediction [PDF]
Journal of Systems and Software, 2023 45 pages, 12 ...
Görkem Giray +4 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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Software Defect Prediction with Bayesian Approaches
Mathematics, 2023 Software defect prediction is an important area in software engineering because it helps developers identify and fix problems before they become costly and hard-to-fix bugs.
María José Hernández-Molinos +4 more
doaj +2 more sources
IEEE Access, 2023 In the traditional software defect prediction methodology, the historical record (dataset) of the same project is partitioned into training and testing data.
Yahaya Zakariyau Bala +3 more
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Integrated Approach to Software Defect Prediction
IEEE Access, 2017 Software defect prediction provides actionable outputs to software teams while contributing to industrial success. Empirical studies have been conducted on software defect prediction for both cross-project and within-project defect prediction.
Ebubeogu Amarachukwu Felix, Sai Peck Lee
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Progress on approaches to software defect prediction
IET Software, 2018 Software defect prediction is one of the most popular research topics in software engineering. It aims to predict defect‐prone software modules before defects are discovered, therefore it can be used to better prioritise software quality assurance effort.
Zhiqiang Li +2 more
exaly +2 more sources
Interpretable Software Defect Prediction from Project Effort and Static Code Metrics
ComputersSoftware defect prediction models enable test managers to predict defect-prone modules and assist with delivering quality products. A test manager would be willing to identify the attributes that can influence defect prediction and should be able to ...
Susmita Haldar, Luiz Fernando Capretz
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A General Software Defect-Proneness Prediction Framework [PDF]
IEEE Transactions on Software Engineering, 2011 BACKGROUND - Predicting defect-prone software components is an economically important activity and so has received a good deal of attention. However, making sense of the many, and sometimes seemingly inconsistent, results is difficult. OBJECTIVE - We propose and evaluate a general framework for software defect prediction that supports 1) unbiased and 2)
Qinbao Song +2 more
exaly +4 more sources
A Framework for Software Defect Prediction and Metric Selection
IEEE Access, 2018 Automated software defect prediction is an important and fundamental activity in the domain of software development. However, modern software systems are inherently large and complex with numerous correlated metrics that capture different aspects of the ...
Shamsul Huda +6 more
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IEEE AccessEnsuring software reliability through early-stage defect prevention and prediction is crucial, particularly as software systems become increasingly complex.
Rida Ghafoor Hussain +2 more
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