Jan 22, 2021 · To implement better CPDP models, recent studies focus on either feature transferring or instance transferring to weaken the impact of irrelevant ...

To implement better CPDP models, recent studies focus on either feature transferring or instance transferring to weaken the impact of irrelevant cross‐project ...

To implement better CPDP models, recent studies focus on either feature transferring or instance transferring to weaken the impact of irrelevant cross‐project ...

To implement better CPDP models, recent studies focus on either feature transferring or instance transferring to weaken the impact of irrelevant cross‐project ...

A random tree feature selection strategy is shown to be accurate and potentially outperform existing methods in the experimental results and considerably ...

To implement better CPDP models, recent studies focus on either feature transferring or instance transferring to weaken the impact of irrelevant cross‐project ...

Software defect prediction studies usually built models using within-company data, but very few focused on the prediction models trained with cross-company ...

Apr 24, 2024 · We provide the first investigation studying the effects of increasing the target data when leveraging the importance of both distribution differences.

Feb 27, 2024 · This paper proposes a novel CPDP method based on Synthetic Minority Oversampling Technique (SMOTE) and Deep Canonical Correlation Analysis (DCCA), referred to ...

Jul 15, 2024 · Most defect prediction methods use the historical data of a software project to train a predictive model. This process involves analyzing and ...