ST-TLF: Cross-version defect prediction framework based transfer learning
Context: Cross-version defect prediction (CVDP) is a practical scenario in which defect
prediction models are derived from defect data of historical versions to predict potential …
prediction models are derived from defect data of historical versions to predict potential …
Inter-release defect prediction with feature selection using temporal chunk-based learning: An empirical study
Inter-release defect prediction (IRDP) is a practical scenario that employs the datasets of the
previous release to build a prediction model and predicts defects for the current release …
previous release to build a prediction model and predicts defects for the current release …
CODE: A Moving-Window-Based Framework for Detecting Concept Drift in Software Defect Prediction
Concept drift (CD) refers to data distributions that may vary after a minimum stable period.
CD negatively influences models' performance of software defect prediction (SDP) trained …
CD negatively influences models' performance of software defect prediction (SDP) trained …
Evolutionary measures for object-oriented projects and impact on the performance of cross-version defect prediction
Q Yu, Y Zhu, H Han, Y Zhao, S Jiang… - Proceedings of the 13th …, 2022 - dl.acm.org
Cross-version defect prediction (CVDP) has attracted more attention of researchers in recent
years. For an evolutionary project, multiple versions will be produced during the process of …
years. For an evolutionary project, multiple versions will be produced during the process of …
Evolutionary measures and their correlations with the performance of cross‐version defect prediction for object‐oriented projects
Q Yu, Y Zhu, H Han, Y Zhao, S Jiang… - Journal of Software …, 2024 - Wiley Online Library
Cross‐version defect prediction (CVDP) for evolutionary projects has attracted much
attention from researchers in recent years. For multiple versions of an object‐oriented …
attention from researchers in recent years. For multiple versions of an object‐oriented …
Effective Prediction of Software Defects using Random-tree Entropy based Feature Selection Framework
A Alhumam - … Journal of Advanced Computer Science and …, 2022 - search.proquest.com
Software systems have grown in size and complexity. These characteristics increase the
difficulty of preventing software errors. As a result, forecasting the frequency of software …
difficulty of preventing software errors. As a result, forecasting the frequency of software …
Toward a consistent performance evaluation for defect prediction models
In defect prediction community, many defect prediction models have been proposed and
indeed more new models are continuously being developed. However, there is no …
indeed more new models are continuously being developed. However, there is no …
Interpretation Conclusion Stability of Software Defect Prediction over Time
A Nikanjam - 2024 - researchsquare.com
Abstract Model instability refers to where a machine learning model trained on historical
data becomes less reliable over time due to Concept Drift (CD). CD refers to the …
data becomes less reliable over time due to Concept Drift (CD). CD refers to the …