[Research Paper] Detecting Evolutionary Coupling Using Transitive Association Rules-Reference-Cited by-同舟云学术

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[Research Paper] Detecting Evolutionary Coupling Using Transitive Association Rules

Published:2018-09 Issue: Volume: Page:
ISSN:
Container-title:2018 IEEE 18th International Working Conference on Source Code Analysis and Manipulation (SCAM)
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Author:

Islam Md. Anaytul,Islam Md. Moksedul,Mondal Manishankar,Roy Banani,Roy Chanchal K.,Schneider Kevin A.

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/8528960/8530704/08530724.pdf?arnumber=8530724

Cited by 12 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Prevalence and Prediction of Unseen Co-Changes: A Graph-Based Approach;2024 IEEE 48th Annual Computers, Software, and Applications Conference (COMPSAC);2024-07-02

2. Revealing code change propagation channels by evolution history mining;Journal of Systems and Software;2024-02

3. Investigating and recommending co-changed entities for JavaScript programs;Journal of Systems and Software;2021-10

4. Cross-language Code Coupling Detection: A Preliminary Study on Android Applications;2021 IEEE International Conference on Software Maintenance and Evolution (ICSME);2021-09

5. FLeCCS: A Technique for Suggesting Fragment-Level Similar Co-change Candidates;2021 IEEE/ACM 29th International Conference on Program Comprehension (ICPC);2021-05

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