AntiCopyPaster: Extracting Code Duplicates As Soon As They Are Introduced in the IDE

Author:

Alomar Eman Abdullah1ORCID,Ivanov Anton2ORCID,Kurbatova Zarina3,Golubev Yaroslav4,Mkaouer Mohamed Wiem5ORCID,Ouni Ali6ORCID,Bryksin Timofey7ORCID,Nguyen Le8,Kini Amit8,Thakur Aditya8

Affiliation:

1. Stevens Institute of Technology, United States of America

2. HSE University, Russian Federation

3. Huawei, Russia

4. JetBrains Research, Serbia

5. Rochester Institute of Technology, United States of America

6. Ecole de Technologie Superieure (ETS), Canada

7. JetBrains Research, Cyprus

8. Rochester Institute of Technology, USA

Publisher

ACM

Reference25 articles.

1. Improving the success rate of applying the extract method refactoring

2. Toward the automatic classification of Self-Affirmed Refactoring

3. How we refactor and how we document it? On the use of supervised machine learning algorithms to classify refactoring documentation

4. Mauricio Aniche , Erick Maziero , Rafael Durelli , and Vinicius Durelli . 2020. The effectiveness of supervised machine learning algorithms in predicting software refactoring . IEEE Transactions on Software Engineering( 2020 ). Mauricio Aniche, Erick Maziero, Rafael Durelli, and Vinicius Durelli. 2020. The effectiveness of supervised machine learning algorithms in predicting software refactoring. IEEE Transactions on Software Engineering(2020).

5. How the Apache community upgrades dependencies: an evolutionary study

Cited by 4 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. AntiCopyPaster 2.0: Whitebox just-in-time code duplicates extraction;Proceedings of the 2024 IEEE/ACM 46th International Conference on Software Engineering: Companion Proceedings;2024-04-14

2. Behind the Intent of Extract Method Refactoring: A Systematic Literature Review;IEEE Transactions on Software Engineering;2024-04

3. Just-in-time code duplicates extraction;Information and Software Technology;2023-06

4. Learning Just-in-Time Code Duplicates Extraction;SSRN Electronic Journal;2022

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3