Results 31 to 40 of about 111,109 (312)
A Cross-Project Defect Prediction Model Based on Deep Learning With Self-Attention
IEEE Access, 2022 Cross-project defect prediction technique is a hot topic in the field of software defect research because of the huge difference in data distribution between source project and target project.
Wanzhi Wen +6 more
doaj +1 more source
Dimensional Reduction on Cross Project Defect Prediction [PDF]
Journal of Physics: Conference Series, 2020 Abstract The complexity of the software can increase the possibility of defects. Defective software can cause high losses. The software containing defects can cause large losses. Most software developers don’t document their work properly so that making it difficult to analyse software development history data. The cross-project software
A Saifudin, Y Yulianti
openaire +1 more source
Deep Learning-Based Defect Prediction for Mobile Applications
Sensors, 2022 Smartphones have enabled the widespread use of mobile applications. However, there are unrecognized defects of mobile applications that can affect businesses due to a negative user experience. To avoid this, the defects of applications should be detected
Manzura Jorayeva +3 more
doaj +1 more source
Using active learning selection approach for cross-project software defect prediction
Connection Science, 2022 Cross-project defect prediction (CPDP) technology can effectively ensure software quality, which plays an important role in software engineering. When encountering a newly developed project with insufficient training data, CPDP can be used to build ...
Wenbo Mi, Yong Li, Ming Wen, Youren Chen
doaj +1 more source
An Empirical Study on Software Defect Prediction Using CodeBERT Model
Applied Sciences, 2021 Deep learning-based software defect prediction has been popular these days. Recently, the publishing of the CodeBERT model has made it possible to perform many software engineering tasks.
Cong Pan, Minyan Lu, Biao Xu
doaj +1 more source
Cross-project defect prediction [PDF]
Proceedings of the 7th joint meeting of the European software engineering conference and the ACM SIGSOFT symposium on The foundations of software engineering, 2009 Prediction of software defects works well within projects as long as there is a sufficient amount of data available to train any models. However, this is rarely the case for new software projects and for many companies. So far, only a few have studies focused on transferring prediction models from one project to another.
Zimmermann, Thomas +4 more
openaire +2 more sources
Multi-Source Heterogeneous Kernel Mapping in Software Defect Prediction
Applied Sciences, 2023 Heterogeneous defect prediction (HDP) is a significant research topic in cross-project defect prediction (CPDP), due to the inconsistency of metrics used between source and target projects.
Jingxiu Yao, Bin Liu, Yumei Wu, Zhibo Li
doaj +1 more source
Revisiting ‘revisiting supervised methods for effort‐aware cross‐project defect prediction’
IET Software, 2023 Effort‐aware cross‐project defect prediction (EACPDP), which uses cross‐project software modules to build a model to rank within‐project software modules based on the defect density, has been suggested to allocate limited testing resource efficiently ...
Fuyang Li +5 more
doaj +1 more source
Software Defect Association Mining and Defect Correction Effort Prediction [PDF]
, 2006 Much current software defect prediction work concentrates on the number of defects remaining in software system. In this paper, we present association rule mining based methods to predict defect associations and defect-correction effort.
Cartwright, MH +3 more
core +2 more sources
Cross-Project Software Defect Prediction Based on Class Code Similarity
IEEE Access, 2022 Software defect prediction techniques can help software developers find software defects as soon as possible. It can also reduce the cost of software development.
Wanzhi Wen +6 more
doaj +1 more source