Results 281 to 290 of about 111,109 (312)
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Cross project defect prediction for open source software
International Journal of Information Technology, 2019Software defect prediction is the process of identification of defects early in the life cycle so as to optimize the testing resources and reduce maintenance efforts. Defect prediction works well if sufficient amount of data is available to train the prediction model. However, not always this is the case.
Anushree Agrawal, Ruchika Malhotra
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Discriminant Subspace Alignment for Cross-Project Defect Prediction
2019 IEEE SmartWorld, Ubiquitous Intelligence & Computing, Advanced & Trusted Computing, Scalable Computing & Communications, Cloud & Big Data Computing, Internet of People and Smart City Innovation (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI), 2019Cross-project defect prediction (CPDP) aims at recognizing defective software modules in a target project with the utilization of historical data from other source projects. Lately, CPDP has attracted much research interest. However, distribution discrepancy between the source and targert projects is known to have a negative effect on CPCP performance.
Zhiqiang Li, Chao Qi, Li Zhang, Jie Ren
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Search Based Training Data Selection For Cross Project Defect Prediction
Proceedings of the The 12th International Conference on Predictive Models and Data Analytics in Software Engineering, 2016Context: Previous studies have shown that steered training data or dataset selection can lead to better performance for cross project defect prediction (CPDP). On the other hand, data quality is an issue to consider in CPDP.Aim: We aim at utilising the Nearest Neighbor (NN)-Filter, embedded in a genetic algorithm, for generating evolving training ...
Turhan Burak +2 more
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eCPDP: Early Cross-Project Defect Prediction
2021 IEEE 21st International Conference on Software Quality, Reliability and Security (QRS), 2021Sunjae Kwon, Duksan Ryu, Jongmoon Baik
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Improving Prediction Robustness of VAB-SVM for Cross-Project Defect Prediction
2014 IEEE 17th International Conference on Computational Science and Engineering, 2014Software defect prediction is important for improving software quality. Defect predictors allow software test engineers to focus on defective modules. Cross-Project Defect Prediction (CPDP) uses data from other companies to build defect predictors. However, outliers may lower prediction accuracy.
Duksan Ryu, Okjoo Choi, Jongmoon Baik
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Training data selection for cross-project defect prediction
Proceedings of the 9th International Conference on Predictive Models in Software Engineering, 2013Software defect prediction has been a popular research topic in recent years and is considered as a means for the optimization of quality assurance activities. Defect prediction can be done in a within-project or a cross-project scenario. The within-project scenario produces results with a very high quality, but requires historic data of the project ...
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CrossPare: A Tool for Benchmarking Cross-Project Defect Predictions
2015 30th IEEE/ACM International Conference on Automated Software Engineering Workshop (ASEW), 2015During the last decade, many papers on defect prediction were published. One still for the most part unresolved issue are cross-project defect predictions. Here, the aim is to predict the defects of a project, with data from other projects. Many approaches were suggested and evaluated in recent years.
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Cross-Project Software Defect Prediction with Subdomain Adaptation
2023 7th International Conference on Electrical, Mechanical and Computer Engineering (ICEMCE), 2023Yichen Xie, Hongmin Ren
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CFPS: Collaborative filtering based source projects selection for cross-project defect prediction
Applied Soft Computing Journal, 2021Zhongbin Sun, Heli Sun, Liang HE
exaly