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In mutation testing, the quality of a test suite is evaluated by introducing faults into a program and determining whether the program's tests detect them.
Hints on Test Data Selection: Help for the Practicing Programmer
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Yue Jia and Mark Harman. 2009 · 2009
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Javalanche: efficient mutation testing for Java. In Proceedings of the 7th Joint Meeting of the European Software Engineering Conference and the ACM SIGSOFT Symposium on The Foundations of Software Engineering (Amsterdam, The Netherlands) (ESEC/FSE ’09) . Association for Computing Machinery, New York, NY, USA, 297–298
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Mutation-driven generation of unit tests and oracles. In Proceedings of the Nineteenth International Symposium on Software Testing and Analysis, ISSTA 2010, Trento, Italy, July 12-16, 2010 , Paolo Tonella and Alessandro Orso (Eds.). ACM, 147–158
Gordon Fraser and Andreas Zeller. 2010 · 2010
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An Analysis and Survey of the Development of Mutation Testing
Yue Jia and Mark Harman. 2011 · 2011
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The Major mutation framework: efficient and scalable mutation analysis for Java. In Proceedings of the 2014 International Symposium on Software Testing and Analysis (San Jose, CA, USA) (ISSTA 2014) . Association for Computing Machinery, New York, NY, USA, 433–436
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Are mutants a valid substitute for real faults in software testing?. In Proceedings of the 22nd ACM SIGSOFT International Symposium on Foundations of Software Engineering (FSE 2014) (Hong Kong, China). 654–665
René Just, Darioush Jalali, Laura Inozemtseva, Michael D. Ernst, Reid Holmes, and Gordon Fraser. 2014 · 2014
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Higher accuracy and lower run time: Efficient mutation analysis using non-redundant mutation operators
René Just and Franz Schweiggert. 2015 · 2015
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Static analysis of event-driven Node.js JavaScript applications. In Proceedings of the 2015 ACM SIGPLAN International Conference on Object-Oriented Programming, Systems, Languages, and Applications, OOPSLA 2015, Pittsburgh, PA, USA, October 25-30, 2015 , Jonathan Aldrich and Patrick Eugster (Eds.). ACM, 505–519
Magnus Madsen, Frank Tip, and Ondrej Lhoták. 2015 · 2015
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PIT: a practical mutation testing tool for Java (demo). In Proceedings of the 25th International Symposium on Software Testing and Analysis (Saarbrücken, Germany) (ISSTA 2016) . Association for Computing Machinery, New York, NY, USA, 449–452
Henry Coles, Thomas Laurent, Christopher Henard, Mike Papadakis, and Anthony Ventresque. 2016 · 2016
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The care and feeding of wild-caught mutants. In Proceedings of the 2017 11th Joint Meeting on Foundations of Software Engineering (Paderborn, Germany) (ESEC/FSE 2017) . Association for Computing Machinery, New York, NY, USA, 511–522
David Bingham Brown, Michael Vaughn, Ben Liblit, and Thomas Reps. 2017 · 2017
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Higher order mutation testing: A Systematic Literature Review
Ahmed S. Ghiduk, Moheb R. Girgis, and Marwa H. Shehata. 2017 · 2017
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Does choice of mutation tool matter?
Rahul Gopinath, Iftekhar Ahmed, Mohammad Amin Alipour, Carlos Jensen, and Alex Groce. 2017 · 2017
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Inferring Mutant Utility from Program Context. In Proceedings of the International Symposium on Software Testing and Analysis (ISSTA) . Santa Barbara, CA, USA, 284–294
René Just, Bob Kurtz, and Paul Ammann. 2017 · 2017
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Automated Test Case Generation as a Many-Objective Optimisation Problem with Dynamic Selection of the Targets
Annibale Panichella, Fitsum Meshesha Kifetew, and Paolo Tonella. 2018 · 2017
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BugJS: A Benchmark of JavaScript Bugs. In Proceedings of 12th IEEE International Conference on Software Testing, Verification and Validation (ICST)
Péter Gyimesi, Béla Vancsics, Andrea Stocco, Davood Mazinanian, Árpád Beszédes, Rudolf Ferenc, and Ali Mesbah. 2019 · 2019
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Mike Lewis, Yinhan Liu, Naman Goyal, Marjan Ghazvininejad, Abdelrahman Mohamed, Omer Levy, Ves Stoyanov, and Luke Zettlemoyer. 2019 · 2019
Cited alongside, same era.
Mutation Testing Advances: An Analysis and Survey
Mike Papadakis, Marinos Kintis, Jie Zhang, Yue Jia, Yves Le Traon, and Mark Harman. 2019 · 2019
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Towards Objective-Tailored Genetic Improvement Through Large Language Models. In IEEE/ACM International Workshop on Genetic Improvement, GI@ICSE 2023, Melbourne, Australia, May 20, 2023 . IEEE, 19–20
Sungmin Kang and Shin Yoo. 2023 · 2023
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Efficient Mutation Testing via Pre-Trained Language Models
Ahmed Khanfir, Renzo Degiovanni, Mike Papadakis, and Yves Le Traon. 2023 · 2023
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Fuzzing for CPS Mutation Testing. In 38th IEEE/ACM International Conference on Automated Software Engineering, ASE 2023, Luxembourg, September 11-15, 2023 . IEEE, 1377–1389
Jaekwon Lee, Enrico Viganò, Oscar Cornejo, Fabrizio Pastore, and Lionel C. Briand. 2023 · 2023
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CodaMOSA: Escaping Coverage Plateaus in Test Generation with Pre-trained Large Language Models. In 45th International Conference on Software Engineering (ICSE)
Caroline Lemieux, Jeevana Priya Inala, Shuvendu K. Lahiri, and Siddhartha Sen. 2023 · 2023
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August Shi, Jonathan Bell, and Darko Marinov. 2019 · 2019
Cited alongside, same era.
Learning How to Mutate Source Code from Bug-Fixes. In 2019 IEEE International Conference on Software Maintenance and Evolution (ICSME) . 301–312
Michele Tufano, Cody Watson, Gabriele Bavota, Massimiliano Di Penta, Martin White, and Denys Poshyvanyk. 2019 · 2019
Cited alongside, same era.
What it would take to use mutation testing in industry: a study at Facebook. In Proceedings of the 43rd International Conference on Software Engineering: Software Engineering in Practice (Virtual Event, Spain) (ICSE-SEIP ’21) . IEEE Press, 268–277
Moritz Beller, Chu-Pan Wong, Johannes Bader, Andrew Scott, Mateusz Machalica, Satish Chandra, and Erik Meijer. 2021 · 2021
Cited alongside, same era.
Killing Stubborn Mutants with Symbolic Execution
Thierry Titcheu Chekam, Mike Papadakis, Maxime Cordy, and Yves Le Traon. 2021 · 2021
Cited alongside, same era.
Semantic bug seeding: a learning-based approach for creating realistic bugs. In Proceedings of the 29th ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering (Athens, Greece) (ESEC/FSE 2021) . 906–918
Jibesh Patra and Michael Pradel. 2021 · 2021
Cited alongside, same era.
Does Mutation Testing Improve Testing Practices?. In 2021 IEEE/ACM 43rd International Conference on Software Engineering (ICSE) . 910–921
Goran Petrović, Marko Ivanković, Gordon Fraser, and René Just. 2021 · 2021
Cited alongside, same era.
Practical Mutation Testing at Scale: A view from Google
Goran Petrović, Marko Ivanković, Gordon Fraser, and René Just. 2022 · 2021
Cited alongside, same era.
Unit Test Case Generation with Transformers and Focal Context
Michele Tufano, Dawn Drain, Alexey Svyatkovskiy, Shao Kun Deng, and Neel Sundaresan. 2021 · 2021
Cited alongside, same era.
Please fix this mutant: How do developers resolve mutants surfaced during code review?. In 2023 IEEE/ACM 45th International Conference on Software Engineering: Software Engineering in Practice (ICSE-SEIP) . 150–161
Goran Petrović, Marko Ivanković, Gordon Fraser, and René Just. 2023 · 2023
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Learning to Construct Better Mutation Faults. In Proceedings of the 37th IEEE/ACM International Conference on Automated Software Engineering (ASE ’22) . Association for Computing Machinery, New York, NY, USA, Article 64, 13 pages
Zhao Tian, Junjie Chen, Qihao Zhu, Junjie Yang, and Lingming Zhang. 2023 · 2023
Later among the works it cites.
Mutation Testing in Practice: Insights From Open-Source Software Developers
Ana Belén Sánchez, José Antonio Parejo, Sergio Segura, Amador Durán Toro, and Mike Papadakis. 2024 · 2024
Closest in time.
Effective test generation using pre-trained Large Language Models and mutation testing
Arghavan Moradi Dakhel, Amin Nikanjam, Vahid Majdinasab, Foutse Khomh, and Michel C. Desmarais. 2024 · 2024
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Syntax Is All You Need: A Universal-Language Approach to Mutant Generation. In Proceedings of the ACM on Software Engineering (FSE 2024)
Sourav Deb, Kush Jain, Rijnard Van Tonder, Claire Le Goues, and Alex Groce. 2024 · 2024
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On the Coupling between Vulnerabilities and LLM-Generated Mutants: A Study on Vul4J Dataset. In IEEE Conference on Software Testing, Verification and Validation, ICST 2024, Toronto, ON, Canada, May 27-31, 2024 . IEEE, 305–316
Aayush Garg, Renzo Degiovanni, Mike Papadakis, and Yves Le Traon. 2024 · 2024
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Equivalent Mutants in the Wild: Identifying and Efficiently Suppressing Equivalent Mutants for Java Programs. In Proceedings of the 33rd ACM SIGSOFT International Symposium on Software Testing and Analysis, ISSTA 2024, Vienna, Austria, September 16-20, 2024 , Maria Christakis and Michael Pradel (Eds.). ACM, 654–665
Benjamin Kushigian, Samuel J. Kaufman, Ryan Featherman, Hannah Potter, Ardi Madadi, and René Just. 2024 · 2024
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Mutation-based Consistency Testing for Evaluating the Code Understanding Capability of LLMs. In Proceedings of the IEEE/ACM 3rd International Conference on AI Engineering - Software Engineering for AI, CAIN 2024, Lisbon, Portugal, April 14-15, 2024 , Jane Cleland-Huang, Jan Bosch, Henry Muccini, and Grace A. Lewis (Eds.). ACM, 150–159
Ziyu Li and Donghwan Shin. 2024 · 2024
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An Empirical Evaluation of Using Large Language Models for Automated Unit Test Generation
Max Schäfer, Sarah Nadi, Aryaz Eghbali, and Frank Tip. 2024 · 2024
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Large Language Models for Equivalent Mutant Detection: How Far Are We?. In Proceedings of the 33rd ACM SIGSOFT International Symposium on Software Testing and Analysis, ISSTA 2024, Vienna, Austria, September 16-20, 2024 , Maria Christakis and Michael Pradel (Eds.). 1733–1745
Zhao Tian, Honglin Shu, Dong Wang, Xuejie Cao, Yasutaka Kamei, and Junjie Chen. 2024 · 2024
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An Exploratory Study on Using Large Language Models for Mutation Testing
Bo Wang, Mingda Chen, Youfang Lin, Mike Papadakis, and Jie M. Zhang. 2024 · 2024
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countries-and-timezones
2025 · 2025
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Handlebars
2025 · 2025
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zip-a-folder
2025 · 2025
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Stryker Mutator
Stryker Team. 2025 · 2025
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