CBFL: Improving Software Fault Localization by Analyzing Statement Complexity-Reference-Cited by-同舟云学术

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CBFL: Improving Software Fault Localization by Analyzing Statement Complexity

Published:2021-12 Issue: Volume: Page:
ISSN:
Container-title:2021 IEEE 21st International Conference on Software Quality, Reliability and Security (QRS)
language:
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Author:

Wang Haoren¹,Jin Haochen¹,Cui Zhanqi¹,Wang Rongcun²

Affiliation:

1. Computer School Beijing Information Science and Technology University,Beijing,China

2. School of Computer Science and Technology, China University of Mining and Technology,Xuzhou,China

Funder

National Natural Science Foundation of China

Beijing Information Science and Technology University

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9724650/9724651/09724824.pdf?arnumber=9724824

Reference42 articles.

1. Fault Localization Approach Using Term Frequency and Inverse Document Frequency;zhang;Journal of Software,2020

2. Effective Fault Localization Approach Based on Enhanced Contexts;zhang;Journal of Software,2019

3. Exploratory undersampling for class-imbalance learning;liu;IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics),2008

4. The effect of oversampling and undersampling on classifying imbalanced text datasets;alexander;University of Texas at Austin,2004

5. Ex-perimental perspectives on learning from imbalanced data;van hulse;Proceedings of the 24th International Conference on Machine Learning,0

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