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Testing is essential to modern software engineering for building reliable software.
Llvm: A compilation framework for lifelong program analysis & transformation
Chris Lattner and Vikram Adve. 2004 · 2004
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A survey of unit testing practices
Per Runeson. 2006 · 2006
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Randoop: feedback-directed random testing for java
Carlos Pacheco and Michael D. Ernst. 2007 · 2007
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Unit test case generation with transformers and focal context
Michele Tufano, Dawn Drain, Alexey Svyatkovskiy, Shao Kun Deng, and Neel Sundaresan. 2021 · 2009
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Evosuite: automatic test suite generation for object-oriented software
Gordon Fraser and Andrea Arcuri. 2011 · 2011
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A survey on unit testing practices and problems
Ermira Daka and Gordon Fraser. 2014 · 2014
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The rust language
Nicholas D Matsakis and Felix S Klock. 2014 · 2014
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Coverage-based greybox fuzzing as markov chain
Marcel Böhme, Van-Thuan Pham, and Abhik Roychoudhury. 2016 · 2016
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Sgdr: Stochastic gradient descent with warm restarts
Ilya Loshchilov and Frank Hutter. 2016 · 2016
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Continuous fuzzing with libfuzzer and addresssanitizer
Kosta Serebryany. 2016 · 2016
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Directed greybox fuzzing
Marcel Böhme, Van-Thuan Pham, Manh-Dung Nguyen, and Abhik Roychoudhury. 2017 · 2017
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Overcoming catastrophic forgetting in neural networks
James Kirkpatrick, Razvan Pascanu, Neil Rabinowitz, Joel Veness, Guillaume Desjardins, Andrei A. Rusu, Kieran Milan, John Quan, Tiago Ramalho, Agnieszka Grabska-Barwinska, Demis Hassabis, Claudia Clopath, Dharshan Kumaran, and Raia Hadsell. 2017 · 2017
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OSS-Fuzz - google’s continuous fuzzing service for open source software
Kostya Serebryany. 2017 · 2017
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Angora: Efficient fuzzing by principled search
Peng Chen and Hao Chen. 2018 · 2018
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Language models are unsupervised multitask learners
Alec Radford, Jeffrey Wu, Rewon Child, David Luan, Dario Amodei, Ilya Sutskever, et al. 2019 · 2019
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Neuzz: Efficient fuzzing with neural program smoothing
Dongdong She, Kexin Pei, Dave Epstein, Junfeng Yang, Baishakhi Ray, and Suman Jana. 2019 · 2019
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Bugswarm: mining and continuously growing a dataset of reproducible failures and fixes
David A. Tomassi, Naji Dmeiri, Yichen Wang, Antara Bhowmick, Yen-Chuan Liu, Premkumar T. Devanbu, Bogdan Vasilescu, and Cindy Rubio-González. 2019 · 2019
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The fuzzing book
Andreas Zeller, Rahul Gopinath, Marcel Böhme, Gordon Fraser, and Christian Holler. 2019 · 2019
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Fuzz testing based data augmentation to improve robustness of deep neural networks
Xiang Gao, Ripon K. Saha, Mukul R. Prasad, and Abhik Roychoudhury. 2020 · 2020
Cited alongside, same era.
Magma: A ground-truth fuzzing benchmark
Ahmad Hazimeh, Adrian Herrera, and Mathias Payer. 2020 · 2020
Cited alongside, same era.
Unit Testing Principles, Practices, and Patterns
Vladimir Khorikov. 2020 · 2020
Cited alongside, same era.
Revisiting test smells in automatically generated tests: limitations, pitfalls, and opportunities
Annibale Panichella, Sebastiano Panichella, Gordon Fraser, Anand Ashok Sawant, and Vincent J Hellendoorn. 2020 · 2020
Cited alongside, same era.
Integrity: Finding integer errors by targeted fuzzing
Yuyang Rong, Peng Chen, and Hao Chen. 2020 · 2020
Cited alongside, same era.
On learning meaningful assert statements for unit test cases
Cody Watson, Michele Tufano, Kevin Moran, Gabriele Bavota, and Denys Poshyvanyk. 2020 · 2020
Codegeex: A pre-trained model for code generation with multilingual benchmarking on humaneval-x
Qinkai Zheng, Xiao Xia, Xu Zou, Yuxiao Dong, Shan Wang, Yufei Xue, Lei Shen, Zihan Wang, Andi Wang, Yang Li, Teng Su, Zhilin Yang, and Jie Tang. 2023 · 2023
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On the reproducibility of software defect datasets
Hao-Nan Zhu and Cindy Rubio-González. 2023 · 2023
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syn: Parser for Rust source code
David Tolnay. 2024 · 2024
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proc-macro2: A substitute implementation of the compiler’s ‘proc_macro‘ API to decouple token-based libraries from the procedural macro use case
David Tolnay and Alex Crichton. 2024 · 2024
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Property-based testing in practice
Harrison Goldstein, Joseph W. Cutler, Daniel Dickstein, Benjamin C. Pierce, and Andrew Head. 2024 · 2024
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CRUXEval: A benchmark for code reasoning, understanding and execution
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Cited alongside, same era.
Toga: A neural method for test oracle generation
Elizabeth Dinella, Gabriel Ryan, Todd Mytkowicz, and Shuvendu K. Lahiri. 2022 · 2022
Cited alongside, same era.
LoRA: Low-rank adaptation of large language models
Edward J Hu, yelong shen, Phillip Wallis, Zeyuan Allen-Zhu, Yuanzhi Li, Shean Wang, Lu Wang, and Weizhu Chen. 2022 · 2022
Cited alongside, same era.
Data augmentation by program transformation
Shiwen Yu, Ting Wang, and Ji Wang. 2022 · 2022
Cited alongside, same era.
Josh Achiam, Steven Adler, Sandhini Agarwal, Lama Ahmad, Ilge Akkaya, Florencia Leoni Aleman, Diogo Almeida, Janko Altenschmidt, Sam Altman, Shyamal Anadkat, et al. 2023 · 2023
Cited alongside, same era.
A3test: Assertion-augmented automated test case generation
Saranya Alagarsamy, Chakkrit Tantithamthavorn, and Aldeida Aleti. 2023 · 2023
Cited alongside, same era.
Santacoder: don’t reach for the stars!
Loubna Ben Allal, Raymond Li, Denis Kocetkov, Chenghao Mou, Christopher Akiki, Carlos Munoz Ferrandis, Niklas Muennighoff, Mayank Mishra, Alex Gu, Manan Dey, Logesh Kumar Umapathi, Carolyn Jane Anderson, Yangtian Zi, Joel Lamy Poirier, Hailey Schoelkopf, Sergey Troshin, Dmitry Abulkhanov, Manuel Romero, Michael Lappert, Francesco De Toni, Bernardo García del Río, Qian Liu, Shamik Bose, Urvashi Bhattacharyya, Terry Yue Zhuo, Ian Yu, Paulo Villegas, Marco Zocca, Sourab Mangrulkar, David Lansky, Huu Nguyen, Danish Contractor, Luis Villa, Jia Li, Dzmitry Bahdanau, Yacine Jernite, Sean Hughes, Daniel Fried, Arjun Guha, Harm de Vries, and Leandro von Werra. 2023 · 2023
Cited alongside, same era.
Alex Gu, Baptiste Roziere, Hugh James Leather, Armando Solar-Lezama, Gabriel Synnaeve, and Sida Wang. 2024 · 2024
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Unitsyn: A large-scale dataset capable of enhancing the prowess of large language models for program testing
Yifeng He, Jiabo Huang, Yuyang Rong, Yiwen Guo, Ethan Wang, and Hao Chen. 2024 · 2024
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Code representation pre-training with complements from program executions
Jiabo Huang, Jianyu Zhao, Yuyang Rong, Yiwen Guo, Yifeng He, and Hao Chen. 2024 · 2024
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jazzer: About coverage-guided, in-process fuzzing for the jvm
Code Intelligence. 2024 · 2024
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Livecodebench: Holistic and contamination free evaluation of large language models for code
Naman Jain, King Han, Alex Gu, Wen-Ding Li, Fanjia Yan, Tianjun Zhang, Sida Wang, Armando Solar-Lezama, Koushik Sen, and Ion Stoica. 2024 · 2024
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Starcoder 2 and the stack v2: The next generation
Anton Lozhkov, Raymond Li, Loubna Ben Allal, Federico Cassano, Joel Lamy-Poirier, Nouamane Tazi, Ao Tang, Dmytro Pykhtar, Jiawei Liu, Yuxiang Wei, Tianyang Liu, Max Tian, Denis Kocetkov, Arthur Zucker, Younes Belkada, Zijian Wang, Qian Liu, Dmitry Abulkhanov, Indraneil Paul, Zhuang Li, Wen-Ding Li, Megan Risdal, Jia Li, Jian Zhu, Terry Yue Zhuo, Evgenii Zheltonozhskii, Nii Osae Osae Dade, Wenhao Yu, Lucas Krauß, Naman Jain, Yixuan Su, Xuanli He, Manan Dey, Edoardo Abati, Yekun Chai, Niklas Muennighoff, Xiangru Tang, Muhtasham Oblokulov, Christopher Akiki, Marc Marone, Chenghao Mou, Mayank Mishra, Alex Gu, Binyuan Hui, Tri Dao, Armel Zebaze, Olivier Dehaene, Nicolas Patry, Canwen Xu, Julian McAuley, Han Hu, Torsten Scholak, Sebastien Paquet, Jennifer Robinson, Carolyn Jane Anderson, Nicolas Chapados, Mostofa Patwary, Nima Tajbakhsh, Yacine Jernite, Carlos Muñoz Ferrandis, Lingming Zhang, Sean Hughes, Thomas Wolf, Arjun Guha, Leandro von Werra, and Harm de Vries. 2024 · 2024
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grcov: Rust tool to collect and aggregate code coverage data for multiple source files
Marco Castelluccio. 2024 · 2024
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base64: encodes and decodes base64 as bytes or utf8
Marshall Pierce. 2024 · 2024
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Cat-lm training language models on aligned code and tests
Nikitha Rao, Kush Jain, Uri Alon, Claire Le Goues, and Vincent J. Hellendoorn. 2024 · 2024
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Valkyrie: Improving fuzzing performance through deterministic techniques
Yuyang Rong, Chibin Zhang, Jianzhong Liu, and Hao Chen. 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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Chatgpt vs sbst: A comparative assessment of unit test suite generation
Yutian Tang, Zhijie Liu, Zhichao Zhou, and Xiapu Luo. 2024 · 2024
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Software unit test coverage and adequacy
Hong Zhu, Patrick A. V. Hall, and John H. R. May. 1997 · 2024
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