Few-Shot Learning Based Balanced Distribution Adaptation for Heterogeneous Defect Prediction
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DOI: 10.1109/access.2020.2973924
Abstract: Heterogeneous defect prediction (HDP) aims to predict the defect tendency of modules in one project using heterogeneous data collected from other projects. It sufficiently incorporates the two characteristics of the defect prediction data: (1) datasets… read more here.
Keywords: balanced distribution; distribution adaptation; prediction; defect prediction ... See more keywords
Heterogeneous Defect Prediction Based on Federated Reinforcement Learning via Gradient Clustering
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DOI: 10.1109/access.2022.3195039
Abstract: Heterogeneous defect prediction (HDP) refers to using heterogeneous data collected by other projects to build a defect prediction model to predict the software defects in a project. Traditional methods usually involve the measurement of the… read more here.
Keywords: reinforcement learning; federated reinforcement; heterogeneous defect; model ... See more keywords
A Data Transfer and Relevant Metrics Matching Based Approach for Heterogeneous Defect Prediction
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Software Engineering"
DOI: 10.1109/tse.2022.3173678
Abstract: Heterogeneous defect prediction (HDP) is a promising research area in the software defect prediction domain to handle the unavailability of the past homogeneous data. In HDP, the prediction is performed using source dataset in which… read more here.
Keywords: heterogeneous defect; source; prediction; defect prediction ... See more keywords