Author of the publication

An Empirical Study of Learning to Rank Techniques for Effort-Aware Defect Prediction.

, , , , , and . SANER, page 298-309. IEEE, (2019)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

 

Other publications of authors with the same name

Cross-Project Defect Prediction Using a Credibility Theory Based Naive Bayes Classifier., , , , and . QRS, page 434-441. IEEE, (2017)Improving domain-specific neural code generation with few-shot meta-learning., , , , , , , and . Inf. Softw. Technol., (February 2024)Improving effort-aware defect prediction by directly learning to rank software modules., , , , , , , and . Inf. Softw. Technol., (January 2024)Where Are Large Language Models for Code Generation on GitHub?, , , , , and . CoRR, (2024)On the relative value of imbalanced learning for code smell detection., , , , , and . Softw. Pract. Exp., 53 (10): 1902-1927 (October 2023)The Impact of the bug number on Effort-Aware Defect Prediction: An Empirical Study., , , , , and . Internetware, page 67-78. ACM, (2023)Incorporating Expert Judgment into Regression Models of Software Effort Estimation., , , and . APSEC, page 374-379. IEEE, (2012)Revisiting 'revisiting supervised methods for effort-aware cross-project defect prediction'., , , , , and . IET Softw., 17 (4): 472-495 (August 2023)New Technique for Stock Trend Analysis - Volume-weighted Squared Moving Average Convergence & Divergence., and . COMPSAC, page 987-988. IEEE, (2023)A Heuristic Rule Reduction Approach to Software Fault-proneness Prediction., , , , and . APSEC, page 838-847. IEEE, (2012)