Results 11 to 20 of about 277,827 (338)
A general software defect-proneness prediction framework [PDF]
IEEE Transactions on Software Engineering, 2011 This is the author's accepted manuscript. The final published article is available from the link below. Copyright @ 2011 IEEE. Personal use of this material is permitted.
Jia, Z +4 more
core +3 more sources
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
doaj +1 more source
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
doaj +1 more source
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
doaj +1 more source
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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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
doaj +1 more source
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
doaj +1 more source
Prediction of Cross Project Defects using Ensemble based Multinomial Classifier [PDF]
EAI Endorsed Transactions on Scalable Information Systems, 2020 BACKGROUND: The availability of defect related data of different projects leads to cross project defect prediction an open issue. Many studies have focused on analyzing and improving the performance of Cross project defect prediction.OBJECTIVE: The ...
Lipika Goel +3 more
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Defect Prediction on Production Line
, 2021 Quality control has long been one of the most challenging fields of manufacturing. The development of advanced sensors and the easier collection of high amounts of data designate the machine learning techniques as a timely natural step forward to leverage quality decision support and manufacturing challenges.
Khalfaoui, S. +9 more
openaire +3 more sources
Automatic Feature Exploration and an Application in Defect Prediction
IEEE Access, 2019 Many software engineering tasks heavily rely on hand-crafted software features, e.g., defect prediction, vulnerability discovery, software requirements, code review, and malware detection.
Yu Qiu +4 more
doaj +1 more source