Are mutants really natural?

Author:

Jimenez Matthieu1,Checkam Thiery Titcheu1,Cordy Maxime2,Papadakis Mike1,Kintis Marinos1,Traon Yves Le1,Harman Mark3

Affiliation:

1. University of Luxembourg, Luxembourg

2. University of Namur, Namur, Belgium

3. University College London and Facebook, London, UK

Publisher

ACM

Reference47 articles.

1. Learning natural coding conventions

2. Miltiadis Allamanis Earl T. Barr Premkumar T. Devanbu and Charles A. Sutton. 2017. A Survey of Machine Learning for Big Code and Naturalness. CoRR abs/1709.06182 (2017). http://arxiv.org/abs/1709.06182 Miltiadis Allamanis Earl T. Barr Premkumar T. Devanbu and Charles A. Sutton. 2017. A Survey of Machine Learning for Big Code and Naturalness. CoRR abs/1709.06182 (2017). http://arxiv.org/abs/1709.06182

3. Using Mutation Analysis for Assessing and Comparing Testing Coverage Criteria

4. Mutation Testing of "Go-Back" Functions Based on Pushdown Automata

5. The care and feeding of wild-caught mutants

Cited by 18 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. Delta4Ms: Improving mutation‐based fault localization by eliminating mutant bias;Software Testing, Verification and Reliability;2024-01-16

2. Effective and scalable fault injection using bug reports and generative language models;Proceedings of the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering;2022-11-07

3. Do bugs lead to unnaturalness of source code?;Proceedings of the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering;2022-11-07

4. Improving the Performance of Mutation-based Fault Localization via Mutant Bias Practical Experience Report;2022 IEEE 33rd International Symposium on Software Reliability Engineering (ISSRE);2022-10

5. Can Higher-Order Mutants Improve the Performance of Mutation-Based Fault Localization?;IEEE Transactions on Reliability;2022-06

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