Oct 3, 2020 · Cross-Version Software Defect Prediction (CVSDP) aims at learning the defect patterns from the historical data of previous software versions to ...
Jan 1, 2020 · This study proposes a new way to connect historical sequence of metrics based on change sequence named HCSM and designs a novel deep learning algorithm GDNN as ...
Cross-Version Software Defect Prediction (CVSDP) aims at learning the defect patterns from the historical data of previous software versions to distinguish ...
Cross-Version Software Defect Prediction (CVSDP) aims at learning the defect patterns from the historical data of previous software versions to distinguish ...
This paper proposes to use the Historical Version Sequence of Metrics (HVSM) in continuous software versions as defect predictors and leverages Recurrent ...
In this study, we try to construct bigger defect datasets by merging available datasets with the same measurement dimension and check whether bigger data will ...
This paper explores the impact of CD within the context of cross-version defect prediction (CVDP), aiming to enhance the reliability of prediction performance.
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Dec 28, 2017 · Abstract—Accurate software defect prediction could help soft- ware practitioners allocate test resources to defect-prone modules.
In order to deal with this problem, in this paper, we propose to use the Historical Version Sequence of Metrics (HVSM) in continuous software versions as defect ...
Cross-project defect prediction (CPDP) plays an essential role in identifying potential defects in target projects, especially those with limited historical ...