Martin Abadi, Ashish Agarwal, Paul Barham, Eugene Brevdo, Zhifeng Chen, Craig Citro, Gregory S. Corrado, Andy Davis, Jeffrey Dean, Matthieu Devin, Sanjay Ghemawat, Ian J. Goodfellow, Andrew Harp, Geoffrey Irving, Michael Isard, Yangqing Jia, Rafal Józefowicz, Lukasz Kaiser, Manjunath Kudlur, Josh Levenberg, Dan Mané, Rajat Monga, Sherry Moore, Derek Gordon Murray, Chris Olah, Mike Schuster, Jonathon Shlens, Benoit Steiner, Ilya Sutskever, Kunal Talwar, Paul A. Tucker, Vincent Vanhoucke, Vijay Vasudevan, Fernanda B. Víegas, Oriol Vinyals, Pete Warden, Martin Wattenberg, Martin Wicke, Yuan Yu, and Xiaoqiang Zheng. Tensorflow: Large-scale machine learning on heterogeneous distributed systems. CoRR, abs/1603. 04467, 2016.
Uri Alon, Shaked Brody, Omer Levy, and Eran Yahav. code2seq: Generating sequences from structured representations of code. In 7th International Conference on Learning Representations, ICLR 2019, New Orleans, LA, USA, May 6-9, 2019. OpenReview. net, 2019.
Paul Ammann, Márcio Eduardo Delamaro, and Jeff Offutt. Establishing theoretical minimal sets of mutants. In Seventh IEEE International Conference on Software Testing, Verification and Validation, ICST 2014, March 31 2014-April 4, 2014, Cleveland, Ohio, USA, pages 21-30. IEEE Computer Society, 2014.
Paul Ammann and Jeff Offutt. Introduction to Software Testing. Cambridge University Press, 2008.
Dzmitry Bahdanau, Kyunghyun Cho, and Yoshua Bengio. Neural machine translation by jointly learning to align and translate. In Yoshua Bengio and Yann LeCun, editors, 3rd International Conference on Learning Representations, ICLR 2015, San Diego, CA, USA, May 7-9, 2015, Conference Track Proceedings, 2015.
Dzmitry Bahdanau, Jan Chorowski, Dmitriy Serdyuk, Philemon Brakel, and Yoshua Bengio. End-to-end attention-based large vocabulary speech recognition. In 2016 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2016, Shanghai, China, March 20-25, 2016, pages 4945-4949. IEEE, 2016.
Earl T. Barr, Mark Harman, Phil McMinn, Muzammil Shahbaz, and Shin Yoo. The oracle problem in software testing: A survey. IEEE Trans. Software Eng., 41 (5): 507-525, 2015.
Arianna Blasi, Alberto Goffi, Konstantin Kuznetsov, Alessandra Gorla, Michael D. Ernst, Mauro Pezzè, and Sergio Delgado Castellanos. Translating code comments to procedure specifications. In Frank Tip and Eric Bodden, editors, Proceedings of the 27th ACM SIGSOFT International Symposium on Software Testing and Analysis, ISSTA 2018, Amsterdam, The Netherlands, July 16-21, 2018, pages 242-253. ACM, 2018.
Leo Breiman. Random forests. Mach. Learn., 45 (1): 5-32, 2001.
Denny Britz, Anna Goldie, Minh-Thang Luong, and Quoc V. Le. Massive exploration of neural machine translation architectures. CoRR, abs/1703. 03906, 2017.
Thierry Titcheu Chekam, Mike Papadakis, Tegawendé F. Bissyandé, Yves Le Traon, and Koushik Sen. Selecting fault revealing mutants. Empir. Softw. Eng., 25 (1): 434-487, 2020.
Thierry Titcheu Chekam, Mike Papadakis, Tegawendé F. Bissyandé, Yves Le Traon, and Koushik Sen. Selecting fault revealing mutants. Empir. Softw. Eng., 25 (1): 434-487, 2020.
Kyunghyun Cho, Bart van Merrienboer, Caglar Gülcehre, Dzmitry Bahdanau, Fethi Bougares, Holger Schwenk, and Yoshua Bengio. Learning phrase representations using RNN encoder-decoder for statistical machine translation. In Alessandro Moschitti, Bo Pang, and Walter Daelemans, editors, Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing, EMNLP 2014, October 25-29, 2014, Doha, Qatar, A meeting of SIGDAT, a Special Interest Group of the ACL, pages 1724-1734. ACL, 2014.
Lori A. Clarke and David S. Rosenblum. A historical perspective on runtime assertion checking in software development. ACM SIGSOFT Softw. Eng. Notes, 31 (3): 25-37, 2006.
Marcelo d'Amorim, Carlos Pacheco, Tao Xie, Darko Marinov, and Michael D. Ernst. An empirical comparison of automated generation and classification techniques for object-oriented unit testing. In 21st IEEE/ACM International Conference on Automated Software Engineering (ASE 2006), 18-22 September 2006, Tokyo, Japan, pages 59-68. IEEE Computer Society, 2006.
Brian Demsky, Michael D. Ernst, Philip J. Guo, Stephen McCamant, Jeff H. Perkins, and Martin C. Rinard. Inference and enforcement of data structure consistency specifications. In Lori L. Pollock and Mauro Pezzè, editors, Proceedings of the ACM/SIGSOFT International Symposium on Software Testing and Analysis, ISSTA 2006, Portland, Maine, USA, July 17-20, 2006, pages 233-244. ACM, 2006.
Michael D. Ernst, Jeff H. Perkins, Philip J. Guo, Stephen McCamant, Carlos Pacheco, Matthew S. Tschantz, and Chen Xiao. The daikon system for dynamic detection of likely invariants. Sci. Comput. Program., 69 (1-3): 35-45, 2007.
Gordon Fraser and Andrea Arcuri. Evosuite: Automatic test suite generation for object-oriented software. In Tibor Gyimóthy and Andreas Zeller, editors, SIGSOFT/FSE'11 19th ACM SIGSOFT Symposium on the Foundations of Software Engineering (FSE-19) and ESEC'11: 13th European Software Engineering Conference (ESEC-13), Szeged, Hungary, September 5-9, 2011, pages 416-419. ACM, 2011.
Gordon Fraser and Andreas Zeller. Mutation-driven generation of unit tests and oracles. IEEE Trans. Software Eng., 38 (2): 278-292, 2012.
Juan P. Galeotti, Nicolás Rosner, Carlos López Pombo, and Marcelo F. Frias. Analysis of invariants for efficient bounded verification. In Paolo Tonella and Alessandro Orso, editors, Proceedings of the Nineteenth International Symposium on Software Testing and Analysis, ISSTA 2010, Trento, Italy, July 12-16, 2010, pages 25-36. ACM, 2010.
Aayush Garg, Renzo Degiovanni, Matthieu Jimenez, Maxime Cordy, Mike Papadakis, and Yves Le Traon. Learning from what we know: How to perform vulnerability prediction using noisy historical data. Empir. Softw. Eng., 27 (7): 169, 2022.
Aayush Garg, Renzo Degiovanni, Mike Papadakis, and Yves Le Traon. Vulnerability mimicking mutants. CoRR, abs/2303. 04247, 2023.
Aayush Garg, Milos Ojdanic, Renzo Degiovanni, Thierry Titcheu Chekam, Mike Papadakis, and Yves Le Traon. Cerebro: Static subsuming mutant selection. IEEE Transactions on Software Engineering, pages 1-1, 2022.
Dunwei Gong, Gongjie Zhang, Xiangjuan Yao, and Fanlin Meng. Mutant reduction based on dominance relation for weak mutation testing. Information & Software Technology, 81: 82-96, 2017.
Rahul Gopinath, Mohammad Amin Alipour, Iftekhar Ahmed, Carlos Jensen, and Alex Groce. On the limits of mutation reduction strategies. In Laura K. Dillon, Willem Visser, and Laurie A. Williams, editors, Proceedings of the 38th International Conference on Software Engineering, ICSE 2016, Austin, TX, USA, May 14-22, 2016, pages 511-522. ACM, 2016.
Matthieu Jimenez, Renaud Rwemalika, Mike Papadakis, Federica Sarro, Yves Le Traon, and Mark Harman. The importance of accounting for real-world labelling when predicting software vulnerabilities. In Proceedings of the 2019 27th ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering, ESEC/FSE 2019, page 695-705, New York, NY, USA, 2019. Association for Computing Machinery.
René Just, Bob Kurtz, and Paul Ammann. Inferring mutant utility from program context. In Proceedings of the 26th ACM SIGSOFT International Symposium on Software Testing and Analysis, Santa Barbara, CA, USA, July 10-14, 2017, pages 284-294, 2017.
René Just, Franz Schweiggert, and Gregory M. Kapfhammer. MAJOR: An efficient and extensible tool for mutation analysis in a java compiler. In Perry Alexander, Corina S. Pasareanu, and John G. Hosking, editors, 26th IEEE/ACM International Conference on Automated Software Engineering (ASE 2011), Lawrence, KS, USA, November 6-10, 2011, pages 612-615. IEEE Computer Society, 2011.
Nal Kalchbrenner and Phil Blunsom. Recurrent continuous translation models. In Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing, EMNLP 2013, 18-21 October 2013, Grand Hyatt Seattle, Seattle, Washington, USA, A meeting of SIGDAT, a Special Interest Group of the ACL, pages 1700-1709. ACL, 2013.
Marinos Kintis, Mike Papadakis, and Nicos Malevris. Evaluating mutation testing alternatives: A collateral experiment. In Jun Han and Tran Dan Thu, editors, 17th Asia Pacific Software Engineering Conference, APSEC 2010, Sydney, Australia, November 30-December 3, 2010, pages 300-309. IEEE Computer Society, 2010.
Bob Kurtz, Paul Ammann, Jeff Offutt, Márcio E. Delamaro, Mariet Kurtz, and Nida Gökce. Analyzing the validity of selective mutation with dominator mutants. In Proceedings of the 2016 24th ACM SIGSOFT International Symposium on Foundations of Software Engineering, FSE 2016, page 571-582, New York, NY, USA, 2016. Association for Computing Machinery
Bob Kurtz, Paul Ammann, Jeff Offutt, Márcio Eduardo Delamaro, Mariet Kurtz, and Nida Gökce. Analyzing the validity of selective mutation with dominator mutants. In Thomas Zimmermann, Jane Cleland-Huang, and Zhendong Su, editors, Proceedings of the 24th ACM SIGSOFT International Symposium on Foundations of Software Engineering, FSE 2016, Seattle, WA, USA, November 13-18, 2016, pages 571-582. ACM, 2016.
Gary T. Leavens, Yoonsik Cheon, Curtis Clifton, Clyde Ruby, and David R. Cok. How the design of JML accommodates both runtime assertion checking and formal verification. Sci. Comput. Program., 55 (1-3): 185-208, 2005.
Francesco Logozzo and Thomas Ball. Modular and verified automatic program repair. In Gary T. Leavens and Matthew B. Dwyer, editors, Proceedings of the 27th Annual ACM SIGPLAN Conference on Object-Oriented Programming, Systems, Languages, and Applications, OOPSLA 2012, part of SPLASH 2012, Tucson, AZ, USA, October 21-25, 2012, pages 133-146. ACM, 2012.
Michaël Marcozzi, Sébastien Bardin, Nikolai Kosmatov, Mike Papadakis, Virgile Prevosto, and Löc Correnson. Time to clean your test objectives. In Michel Chaudron, Ivica Crnkovic, Marsha Chechik, and Mark Harman, editors, Proceedings of the 40th International Conference on Software Engineering, ICSE 2018, Gothenburg, Sweden, May 27-June 03, 2018, pages 456-467. ACM, 2018.
Facundo Molina, Marcelo d'Amorim, and Nazareno Aguirre. Fuzzing class specifications. In 44th IEEE/ACM 44th International Conference on Software Engineering, ICSE 2022, Pittsburgh, PA, USA, May 25-27, 2022, pages 1008-1020. ACM, 2022.
Facundo Molina, Pablo Ponzio, Nazareno Aguirre, and Marcelo F. Frias. Evospex: An evolutionary algorithm for learning postconditions. In 43rd IEEE/ACM International Conference on Software Engineering, ICSE 2021, Madrid, Spain, 22-30 May 2021, pages 1223-1235. IEEE, 2021.
A. Jefferson Offutt, Ammei Lee, Gregg Rothermel, Roland H. Untch, and Christian Zapf. An experimental determination of sufficient mutant operators. ACM Trans. Softw. Eng. Methodol., 5 (2): 99-118, 1996.
Carlos Pacheco, Shuvendu K. Lahiri, Michael D. Ernst, and Thomas Ball. Feedback-directed random test generation. In 29th International Conference on Software Engineering (ICSE 2007), Minneapolis, MN, USA, May 20-26, 2007, pages 75-84. IEEE Computer Society, 2007.
Mike Papadakis, Christopher Henard, Mark Harman, Yue Jia, and Yves Le Traon. Threats to the validity of mutation-based test assessment. In Andreas Zeller and Abhik Roychoudhury, editors, Proceedings of the 25th International Symposium on Software Testing and Analysis, ISSTA 2016, Saarbrücken, Germany, July 18-20, 2016, pages 354-365. ACM, 2016.
Mike Papadakis, Marinos Kintis, Jie Zhang, Yue Jia, Yves Le Traon, and Mark Harman. Chapter six-mutation testing advances: An analysis and survey. Adv. Comput., 112: 275-378, 2019.
Mike Papadakis, Marinos Kintis, Jie Zhang, Yue Jia, Yves Le Traon, and Mark Harman. Chapter six-mutation testing advances: An analysis and survey. Adv. Comput., 112: 275-378, 2019.
Jeff H. Perkins, Sunghun Kim, Samuel Larsen, Saman P. Amarasinghe, Jonathan Bachrach, Michael Carbin, Carlos Pacheco, Frank Sherwood, Stelios Sidiroglou, Gregory T. Sullivan, Weng-Fai Wong, Yoav Zibin, Michael D. Ernst, and Martin C. Rinard. Automatically patching errors in deployed software. In Jeanna Neefe Matthews and Thomas E. Anderson, editors, Proceedings of the 22nd ACM Symposium on Operating Systems Principles 2009, SOSP 2009, Big Sky, Montana, USA, October 11-14, 2009, pages 87-102. ACM, 2009.
Gustavo Pinto, Breno Miranda, Supun Dissanayake, Marcelo d'Amorim, Christoph Treude, and Antonia Bertolino. What is the vocabulary of flaky testsIn Proceedings of the 17th International Conference on Mining Software Repositories, MSR '20, page 492-502, New York, NY, USA, 2020. Association for Computing Machinery.
J. K. Rowling. Harry Potter and the Philosopher's Stone, volume 1. Bloomsbury Publishing, London, 1 edition, June 1997.
Martin J. Shepperd, David Bowes, and Tracy Hall. Researcher bias: The use of machine learning in software defect prediction. IEEE Trans. Software Eng., 40 (6): 603-616, 2014.
Apeksha Shewalkar, Deepika Nyavanandi, and Simone A. Ludwig. Performance evaluation of deep neural networks applied to speech recognition: Rnn, LSTM and GRU. J. Artif. Intell. Soft Comput. Res., 9 (4): 235-245, 2019.
Ilya Sutskever, Oriol Vinyals, and Quoc V. Le. Sequence to sequence learning with neural networks. In Zoubin Ghahramani, Max Welling, Corinna Cortes, Neil D. Lawrence, and Kilian Q. Weinberger, editors, Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, December 8-13 2014, Montreal, Quebec, Canada, pages 3104-3112, 2014.
Valerio Terragni, Gunel Jahangirova, Paolo Tonella, and Mauro Pezzè. Evolutionary improvement of assertion oracles. In Prem Devanbu, Myra B. Cohen, and Thomas Zimmermann, editors, ESEC/FSE '20: 28th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, Virtual Event, USA, November 8-13, 2020, pages 1178-1189. ACM, 2020.
Nikolai Tillmann and Jonathan de Halleux. Pex-white box test generation for. net. In Bernhard Beckert and Reiner Hähnle, editors, Tests and Proofs-2nd International Conference, TAP 2008, Prato, Italy, April 9-11, 2008. Proceedings, volume 4966 of Lecture Notes in Computer Science, pages 134-153. Springer, 2008.
Michele Tufano, Jevgenija Pantiuchina, Cody Watson, Gabriele Bavota, and Denys Poshyvanyk. On learning meaningful code changes via neural machine translation. In Joanne M. Atlee, Tevfik Bultan, and Jon Whittle, editors, Proceedings of the 41st International Conference on Software Engineering, ICSE 2019, Montreal, QC, Canada, May 25-31, 2019, pages 25-36. IEEE / ACM, 2019.
Michele Tufano, Cody Watson, Gabriele Bavota, Massimiliano Di Penta, Martin White, and Denys Poshyvanyk. An empirical study on learning bug-fixing patches in the wild via neural machine translation. ACM Trans. Softw. Eng. Methodol., 28 (4): 19: 1-19: 29, 2019.
Michele Tufano, Cody Watson, Gabriele Bavota, Massimiliano Di Penta, Martin White, and Denys Poshyvanyk. Learning how to mutate source code from bug-fixes. In 2019 IEEE International Conference on Software Maintenance and Evolution, ICSME 2019, Cleveland, OH, USA, September 29-October 4, 2019, pages 301-312. IEEE, 2019.
Cody Watson, Michele Tufano, Kevin Moran, Gabriele Bavota, and Denys Poshyvanyk. On learning meaningful assert statements for unit test cases. In Gregg Rothermel and Doo-Hwan Bae, editors, ICSE '20: 42nd International Conference on Software Engineering, Seoul, South Korea, 27 June-19 July, 2020, pages 1398-1409. ACM, 2020.
Jingxiu Yao and Martin J. Shepperd. Assessing software defection prediction performance: why using the matthews correlation coefficient matters. In Jingyue Li, Letizia Jaccheri, Torgeir Dingsoyr, and Ruzanna Chitchyan, editors, EASE '20: Evaluation and Assessment in Software Engineering, Trondheim, Norway, April 15-17, 2020, pages 120-129. ACM, 2020.
Lingming Zhang, Milos Gligoric, Darko Marinov, and Sarfraz Khurshid. Operator-based and random mutant selection: Better together. In Ewen Denney, Tevfik Bultan, and Andreas Zeller, editors, 2013 28th IEEE/ACM International Conference on Automated Software Engineering, ASE 2013, Silicon Valley, CA, USA, November 11-15, 2013, pages 92-102. IEEE, 2013.
Lu Zhang, Shan-Shan Hou, Jun-Jue Hu, Tao Xie, and Hong Mei. Is operator-based mutant selection superior to random mutant selectionIn Jeff Kramer, Judith Bishop, Premkumar T. Devanbu, and Sebastían Uchitel, editors, Proceedings of the 32nd ACM/IEEE International Conference on Software Engineering-Volume 1, ICSE 2010, Cape Town, South Africa, 1-8 May 2010, pages 435-444. ACM, 2010.
