Results 1 to 10 of about 78,918 (265)
Heterogeneous Defect Prediction [PDF]
IEEE Transactions on Software Engineering, 2018 Many recent studies have documented the success of cross-project defect prediction (CPDP) to predict defects for new projects lacking in defect data by using prediction models built by other projects. However, most studies share the same limitations: it requires homogeneous data; i.e., different projects must describe themselves using the same ...
Sung Hun Kim +2 more
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Software defect association mining and defect correction effort prediction
IEEE Transactions on Software Engineering, 2006 Much current software defect prediction work focuses on the number of defects remaining in a software system. In this paper, we present association rule mining based methods to predict defect associations and defect correction effort. This is to help developers detect software defects and assist project managers in allocating testing resources more ...
Qinbao Song, Martin Shepperd
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Software Defect Prediction Using Dagging Meta-Learner-Based Classifiers
Mathematics, 2023 To guarantee that software does not fail, software quality assurance (SQA) teams play a critical part in the software development procedure. As a result, prioritizing SQA activities is a crucial stage in SQA.
Akinbowale Nathaniel Babatunde +3 more
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A Survey on Software Defect Prediction Using Deep Learning
Mathematics, 2021 Defect prediction is one of the key challenges in software development and programming language research for improving software quality and reliability.
Elena N. Akimova +6 more
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An Improved Confounding Effect Model for Software Defect Prediction
Applied Sciences, 2023 Software defect prediction technology can effectively improve software quality. Depending on the code metrics, machine learning models are built to predict potential defects.
Yuyu Yuan, Chenlong Li, Jincui Yang
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Metals, 2021 In recent decades, the automotive industry has had a constant evolution with consequent enhancement of products quality. In industrial applications, quality may be defined as conformance to product specifications and repeatability of manufacturing ...
Maria Emanuela Palmieri +2 more
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IET Software, 2022 Cross‐project defect prediction (CPDP), where data from different software projects are used to predict defects, has been proposed as a way to provide data for software projects that lack historical data.
Kwabena Ebo Bennin +3 more
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Personalized defect prediction [PDF]
2013 28th IEEE/ACM International Conference on Automated Software Engineering (ASE), 2013 Many defect prediction techniques have been proposed. While they often take the author of the code into consideration, none of these techniques build a separate prediction model for each developer. Different developers have different coding styles, commit frequencies, and experience levels, causing different defect patterns.
Tian Jiang +2 more
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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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Applied Sciences, 2022 Using artificial intelligence (AI) based software defect prediction (SDP) techniques in the software development process helps isolate defective software modules, count the number of software defects, and identify risky code changes.
Mahesha Pandit +7 more
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