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Cost Effectiveness of Software Defect Prediction in an Industrial Project
Foundations of Computing and Decision Sciences, 2018 Software defect prediction is a promising approach aiming to increase software quality and, as a result, development pace. Unfortunately, the cost effectiveness of software defect prediction in industrial settings is not eagerly shared by the pioneering ...
Hryszko Jaroslaw, Madeyski Lech
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VoStackSDD: A Novel Ensemble Technique for Software Defect Density Prediction
Journal of Communications Software and SystemsSoftware defect density prediction is vital for improving software quality and reducing maintenance costs. Traditional models often fall short in predicting software defect density, whereas our approach focuses on enhancing software defect density ...
Jasmeet Kaur +2 more
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On Software Defect Prediction Using Machine Learning
Journal of Applied Mathematics, 2014 This paper mainly deals with how kernel method can be used for software defect prediction, since the class imbalance can greatly reduce the performance of defect prediction.
Jinsheng Ren +3 more
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SOFTWARE DEFECT PREDICTION APPROACHES REVISITED [PDF]
International Journal of Intelligent Computing and Information Sciences, 2023 A crucial field in software development and testing is Software Defect Prediction (SDP) because the quality, dependability, efficiency, and cost of the software are all improved by forecasting software defects at an earlier stage.
Khaled Shebl, Yasmine Afify, Nagwa Badr
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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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Multi-view learning for software defect prediction [PDF]
e-Informatica Software Engineering Journal, 2021 Background: Traditionally, machine learning algorithms have been simply applied for software defect prediction by considering single-view data, meaning the input data contains a single feature vector.
Elife Ozturk Kiyak +2 more
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Software Defect Prediction Framework Using Hybrid Software Metric
JOIV: International Journal on Informatics Visualization, 2022 Software fault prediction is widely used in the software development industry. Moreover, software development has accelerated significantly during this epidemic.
Amirul Zaim +4 more
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Software defect prediction via LSTM [PDF]
IET Software, 2020 Software quality plays an important role in the software lifecycle. Traditional software defect prediction approaches mainly focused on using handâcrafted features to detect defects. However, like human languages, programming languages contain rich semantic and structural information, and the cause of defective code is closely related to its context ...
Jiehan Deng, Lu Lu 0011, Shaojian Qiu
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Software fault prediction based on change metrics using hybrid algorithms: An empirical study
Journal of King Saud University: Computer and Information Sciences, 2020 Quality of the developed software depends on its bug free operation. Although bugs can be introduced in any phase of the software development life-cycle but their identification in earlier phase can lead to reduce the allocation cost of testing and ...
Wasiur Rhmann +3 more
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Cost Sensitive Boosting Software Defect Prediction Method [PDF]
Jisuanji gongcheng, 2022 Software defect prediction can effectively improve the reliability of software and remedy the loopholes in a system.Boosting resampling is a common method for solving the problem of insufficient software defect prediction samples.However, the ...
LI Li, REN Zhenkang, SHI Kexin
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