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A transfer cost-sensitive boosting approach for cross-project defect prediction.

, , and . Softw. Qual. J., 25 (1): 235-272 (2017)

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QoS-Aware Graph Contrastive Learning for Web Service Recommendation., and . CoRR, (2024)Exploring LLM-based Automated Repairing of Ansible Script in Edge-Cloud Infrastructures., , , , and . J. Web Eng., 22 (6): 889-912 (2023)Deep Tasks Summarization for Comprehending Mixed Tasks in a Commit., , , and . Int. J. Softw. Eng. Knowl. Eng., 33 (2): 207-229 (February 2023)Improving Prediction Robustness of VAB-SVM for Cross-Project Defect Prediction., , and . CSE, page 994-999. IEEE Computer Society, (2014)Just-in-Time Defect Prediction for Self-driving Software via a Deep Learning Model., , , , and . J. Web Eng., 22 (2): 303-326 (2023)Pre-trained Model-based Software Defect Prediction for Edge-cloud Systems., , , and . J. Web Eng., 22 (2): 255-278 (2023)Improving vulnerability prediction accuracy with Secure Coding Standard violation measures., , and . BigComp, page 115-122. IEEE Computer Society, (2016)An Empirical Analysis on Just-In-Time Defect Prediction Models for Self-driving Software Systems., , , and . ICWE Workshops, volume 1668 of Communications in Computer and Information Science, page 34-45. Springer, (2022)Value-cognitive boosting with a support vector machine for cross-project defect prediction., , and . Empir. Softw. Eng., 21 (1): 43-71 (2016)A transfer cost-sensitive boosting approach for cross-project defect prediction., , and . Softw. Qual. J., 25 (1): 235-272 (2017)