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 +3 more sources
Addressing Noise and Class Imbalance Problems in Heterogeneous Cross-Project Defect Prediction
2020 8th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO), 2023 Cross Project Defect Prediction (CPDP) predicts faults in a target project (which has deficient faulty data) by defect prediction models learned from another project’s fault data. Nonetheless, these studies have a prevalent problem that needs uniform metrics, i.e. to describe themselves; distinct projects must have similar features.
Rohit Vashisht, Syed Afzal Murtaza Rizvi
openalex +3 more sources
Evaluating Data Filter on Cross-Project Defect Prediction: Comparison and Improvements
IEEE Access, 2017 Cross-project defect prediction (CPDP) is a field of study where a software project lacking enough local data can use data from other projects to build defect predictors.
Yong Li +3 more
doaj +2 more sources
Early Software Defects Density Prediction: Training the International Software Benchmarking Cross Projects Data Using Supervised Learning [PDF]
IEEE Access, 2023 Recent reviews of the literature indicate the need for empirical studies on cross-project defect prediction (CPDP) that would allow aggregation of the evidence and improve predictive performance.
Touseef Tahir +6 more
doaj +2 more sources
DeepCPDP: Deep Learning Based Cross-Project Defect Prediction [PDF]
IEEE Access, 2019 Cross-project defect prediction (CPDP) is an active research topic in the domain of software defect prediction, since CPDP can be applied to the following scenarios: the target project for software defect prediction is a new project or the target project
Deyu Chen +4 more
doaj +2 more sources
Heterogeneous Cross-Project Defect Prediction Using Encoder Networks and Transfer Learning [PDF]
IEEE Access, 2023 Heterogeneous cross-project defect prediction (HCPDP) aims to predict defects in new software projects using defect data from previous software projects where the source and target projects have some different metrics.
Radowanul Haque +4 more
doaj +2 more sources
ConCPDP: A Cross-Project Defect Prediction Method Integrating Contrastive Pretraining and Category Boundary Adjustment [PDF]
IET SoftwareSoftware defect prediction (SDP) is a crucial phase preceding the launch of software products. Cross-project defect prediction (CPDP) is introduced for the anticipation of defects in novel projects lacking defect labels.
Hengjie Song +5 more
doaj +2 more sources
Balanced Adversarial Tight Matching for Cross-Project Defect Prediction
IET SoftwareCross-project defect prediction (CPDP) is an attractive research area in software testing. It identifies defects in projects with limited labeled data (target projects) by utilizing predictive models from data-rich projects (source projects).
Siyu Jiang +4 more
doaj +2 more sources
Cross-Project Defect Prediction Based on Two-Phase Feature Importance Amplification. [PDF]
Comput Intell Neurosci, 2022 Xing Y, Lin W, Lin X, Yang B, Tan Z.
europepmc +3 more sources
A Comparative Study to Benchmark Cross-Project Defect Prediction Approaches
IEEE Transactions on Software Engineering, 2017 Cross-Project Defect Prediction (CPDP) as a means to focus quality assurance of software projects was under heavy investigation in recent years. However, within the current state-of-the-art it is unclear which of the many proposals performs best due to a lack of replication of results and diverse experiment setups that utilize different performance ...
Steffen Herbold +2 more
openalex +5 more sources