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Mutation testing is an established fault-based testing technique.
Hints on test data selection: Help for the practicing programmer
Richard A. DeMillo, Richard J. Lipton, and Frederick G. Sayward · 1978
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Investigations of the software testing coupling effect
A. Jefferson Offutt · 1992
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Fault injection and dependability evaluation of fault-tolerant systems
Jean Arlat, Alain Costes, Yves Crouzet, Jean-Claude Laprie, and David Powell · 1993
Earlier work this paper cites.
Generation of error set that emulates software faults based on field data
Jörgen Christmansson and Ram Chillarege · 1996
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An experimental determination of sufficient mutant operators
A. Jefferson Offutt, Ammei Lee, Gregg Rothermel, Roland H. Untch, and Christian Zapf · 1996
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All-uses vs mutation testing: An experimental comparison of effectiveness
Phyllis G. Frankl, Stewart N. Weiss, and Cang Hu · 1997
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Predicting how badly ”good” software can behave
Jeffrey M. Voas, Frank Charron, Gary McGraw, Keith W. Miller, and Michael Friedman · 1997
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Software Fault Injection: Inoculating Programs against Errors
Jeffrey M. Voas and Gary McGraw · 1997
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Mujava: an automated class mutation system
Yu-Seung Ma, Jeff Offutt, and Yong Rae Kwon · 2005
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Using mutation analysis for assessing and comparing testing coverage criteria
James H. Andrews, Lionel C. Briand, Yvan Labiche, and Akbar Siami Namin · 2006
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Introduction to Software Testing
Paul Ammann and Jeff Offutt · 2008
Earlier work this paper cites.
An experimental comparison of four unit test criteria: Mutation, edge-pair, all-uses and prime path coverage
Nan Li, Upsorn Praphamontripong, and Jeff Offutt · 2009
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Untangling changes
Kim Herzig and Andreas Zeller · 2011
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Lingming Zhang, Darko Marinov, Lu Zhang, and Sarfraz Khurshid · 2012
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Eclipse java development tools (jdt), 2013
JDT Eclipse · 2013
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On fault representativeness of software fault injection
Roberto Natella, Domenico Cotroneo, João Durães, and Henrique Madeira · 2013
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Defects4j: A database of existing faults to enable controlled testing studies for java programs
René Just, Darioush Jalali, and Michael D. Ernst · 2014
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Are mutants a valid substitute for real faults in software testing?
René Just, Darioush Jalali, Laura Inozemtseva, Michael D. Ernst, Reid Holmes, and Gordon Fraser · 2014
Cited alongside, same era.
Guided mutation testing for javascript web applications
Shabnam Mirshokraie, Ali Mesbah, and Karthik Pattabiraman · 2015
Cited alongside, same era.
Metallaxis-fl: mutation-based fault localization
Mike Papadakis and Yves Le Traon · 2015
Cited alongside, same era.
Spoon: A Library for Implementing Analyses and Transformations of Java Source Code
Renaud Pawlak, Martin Monperrus, Nicolas Petitprez, Carlos Noguera, and Lionel Seinturier · 2015
Cited alongside, same era.
Pit: A practical mutation testing tool for java (demo)
Henry Coles, Thomas Laurent, Christopher Henard, Mike Papadakis, and Anthony Ventresque · 2016
Cited alongside, same era.
Analyzing the validity of selective mutation with dominator mutants
Chapter six - mutation testing advances: An analysis and survey
Mike Papadakis, Marinos Kintis, Jie Zhang, Yue Jia, Yves Le Traon, and Mark Harman · 2019
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Learning how to mutate source code from bug-fixes
Michele Tufano, Cody Watson, Gabriele Bavota, Massimiliano Di Penta, Martin White, and Denys Poshyvanyk · 2019
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Selecting fault revealing mutants
Thierry Titcheu Chekam, Mike Papadakis, Tegawendé F. Bissyandé, Yves Le Traon, and Koushik Sen · 2020
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Codebert: A pre-trained model for programming and natural languages
Zhangyin Feng, Daya Guo, Duyu Tang, Nan Duan, Xiaocheng Feng, Ming Gong, Linjun Shou, Bing Qin, Ting Liu, Daxin Jiang, and Ming Zhou · 2020
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A preliminary investigation into using machine learning algorithms to identify minimal and equivalent mutants
Claudinei Brito Junior, Vinicius H. S. Durelli, Rafael Serapilha Durelli, Simone R. S. Souza, Auri M. R. Vincenzi, and Márcio Eduardo Delamaro · 2020
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Bob Kurtz, Paul Ammann, Jeff Offutt, Márcio Eduardo Delamaro, Mariet Kurtz, and Nida Gökçe · 2016
Cited alongside, same era.
The care and feeding of wild-caught mutants
David Bingham Brown, Michael Vaughn, Ben Liblit, and Thomas W. Reps · 2017
Cited alongside, same era.
An empirical study on mutation, statement and branch coverage fault revelation that avoids the unreliable clean program assumption
Thierry Titcheu Chekam, Mike Papadakis, Yves Le Traon, and Mark Harman · 2017
Cited alongside, same era.
Mutant reduction based on dominance relation for weak mutation testing
Dunwei Gong, Gongjie Zhang, Xiangjuan Yao, and Fanlin Meng · 2017
Cited alongside, same era.
Assessing and improving the mutation testing practice of pit
T. Laurent, M. Papadakis, M. Kintis, C. Henard, Y. L. Traon, and A. Ventresque · 2017
Cited alongside, same era.
A path-aware approach to mutant reduction in mutation testing
Chang-ai Sun, Feifei Xue, Huai Liu, and Xiangyu Zhang · 2017
Cited alongside, same era.
Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Łukasz Kaiser, and Illia Polosukhin · 2017
Cited alongside, same era.
Can automated program repair refine fault localization? a unified debugging approach
Yiling Lou, Ali Ghanbari, Xia Li, Lingming Zhang, Haotian Zhang, Dan Hao, and Lu Zhang · 2020
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Commit-aware mutation testing
Wei Ma, Thomas Laurent, Milos Ojdanic, Thierry Titcheu Chekam, Anthony Ventresque, and Mike Papadakis · 2020
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What it would take to use mutation testing in industry - A study at facebook
Moritz Beller, Chu-Pan Wong, Johannes Bader, Andrew Scott, Mateusz Machalica, Satish Chandra, and Erik Meijer · 2021
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Evaluating large language models trained on code.(2021)
Mark Chen, Jerry Tworek, Heewoo Jun, Qiming Yuan, Henrique Ponde de Oliveira Pinto, J Kaplan, H Edwards, Y Burda, N Joseph, G Brockman, et al · 2021
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Identifying method-level mutation subsumption relations using Z3
Rohit Gheyi, Márcio Ribeiro, Beatriz Souza, Marcio Augusto Guimarães, Leo Fernandes, Marcelo d’Amorim, Vander Alves, Leopoldo Teixeira, and Baldoino Fonseca · 2021
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Syntactic vs. semantic similarity of artificial and real faults in mutation testing studies
Milos Ojdanic, Aayush Garg, Ahmed Khanfir, Renzo Degiovanni, Mike Papadakis, and Yves Le Traon · 2021
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Semantic bug seeding: A learning-based approach for creating realistic bugs
Jibesh Patra and Michael Pradel · 2021
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μ \mathrm{\mu} bert: Mutation testing using pre-trained language models
Renzo Degiovanni and Mike Papadakis · 2022
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Codebert-nt: code naturalness via codebert
Ahmed Khanfir, Matthieu Jimenez, Mike Papadakis, and Yves Le Traon · 2022
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Ibir: Bug report driven fault injection
Ahmed Khanfir, Anil Koyuncu, Mike Papadakis, Maxime Cordy, Tegawende F. Bissyandé, Jacques Klein, and Yves Le Traon · 2022
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Mutation testing in the wild: findings from github
Ana Belén Sánchez, Pedro Delgado-Pérez, Inmaculada Medina-Bulo, and Sergio Segura · 2022
Later among the works it cites.