The best of both worlds: integrating semantic features with expert features for defect prediction and localization

Author:

Ni Chao1,Wang Wei1,Yang Kaiwen1,Xia Xin2,Liu Kui2,Lo David3

Affiliation:

1. Zhejiang University, China

2. Huawei, China

3. Singapore Management University, Singapore

Funder

the National Natural Science Foundation of China

the Natural Science Foundation of Jiangsu Province, China

the Key Research and Development Program of Zhejiang Province

the Open Project Program of the State Key Laboratory of Mathematical Engineering and Advanced Computing

Publisher

ACM

Reference66 articles.

1. Automatic Generation of Semantic Features and Lexical Relations Using OWL Ontologies

2. A systematic and comprehensive investigation of methods to build and evaluate fault prediction models

3. Tom Britton Lisa Jeng Graham Carver Paul Cheak and Tomer Katzenellenbogen. 2013. Reversible debugging software. Technique Report in University of Cambridge. Tom Britton Lisa Jeng Graham Carver Paul Cheak and Tomer Katzenellenbogen. 2013. Reversible debugging software. Technique Report in University of Cambridge.

4. Class Imbalance Evolution and Verification Latency in Just-in-Time Software Defect Prediction

5. Software defect number prediction: Unsupervised vs supervised methods

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4. Boosting multi-objective just-in-time software defect prediction by fusing expert metrics and semantic metrics;Journal of Systems and Software;2023-12

5. VFFINDER: A Graph-Based Approach for Automated Silent Vulnerability-Fix Identification;2023 15th International Conference on Knowledge and Systems Engineering (KSE);2023-10-18

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