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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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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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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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Numerical simulation study on monoblock casting process of ultra-slender structural components and experimental validation [PDF]
China Foundry, 2017 Substrate, a typical ultra-slender aluminum alloy structural components with a large aspect ratio and complex internal structure, was traditionally manufactured by re-assembly and sub-welding.
Xu-liang Zhang +2 more
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Impact of Hyperparameter Optimization on Cross-Version Defect Prediction: An Empirical Study [PDF]
Jisuanji kexue yu tansuo, 2023 In the field of machine learning, hyperparameters are one of the key factors that affect prediction performance. Previous studies have shown that optimizing hyperparameters can improve the performance of inner-version defect prediction and cross-project ...
HAN Hui, YU Qiao, ZHU Yi
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