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Code review is a fundamental process in software development that plays a pivotal role in ensuring code quality and reducing the likelihood of errors and bugs.
CKD: Cross-task knowledge distillation for text-to-image synthesis
Mingkuan Yuan and Yuxin Peng. 2019 · 1968
Earlier work this paper cites.
Software inspections and the industrial production of software. In Proc. of a symposium on Software validation: inspection-testing-verification-alternatives . 13–40
A Frank Ackerman, Priscilla J Fowler, and Robert G Ebenau. 1984 · 1984
Earlier work this paper cites.
Software inspections: an effective verification process
A. Frank Ackerman, Lynne S. Buchwald, and Frank H. Lewski. 1989 · 1989
Earlier work this paper cites.
Industrial perspective on static analysis
Brian A Wichmann, AA Canning, DL Clutterbuck, LA Winsborrow, NJ Ward, and D William R Marsh. 1995 · 1995
Earlier work this paper cites.
Checkstyle
2001 · 2001
Earlier work this paper cites.
Does code decay? assessing the evidence from change management data
Stephen G Eick, Todd L Graves, Alan F Karr, J Steve Marron, and Audris Mockus. 2001 · 2001
Earlier work this paper cites.
Design and code inspections to reduce errors in program development
Michael Fagan. 2002 · 2002
Earlier work this paper cites.
Bleu: a method for automatic evaluation of machine translation. In Proceedings of the 40th annual meeting of the Association for Computational Linguistics . 311–318
Kishore Papineni, Salim Roukos, Todd Ward, and Wei-Jing Zhu. 2002 · 2002
Earlier work this paper cites.
Finding bugs is easy
David Hovemeyer and William Pugh. 2004 · 2004
Earlier work this paper cites.
FindBugs
2005 · 2005
Earlier work this paper cites.
Continuous integration
Martin Fowler and Matthew Foemmel. 2006 · 2006
Earlier work this paper cites.
Kullback-leibler divergence
James M Joyce. 2011 · 2011
Earlier work this paper cites.
Expectations, outcomes, and challenges of modern code review. In 2013 35th International Conference on Software Engineering (ICSE) . 712–721
Alberto Bacchelli and Christian Bird. 2013 · 2013
Earlier work this paper cites.
The impact of code review coverage and code review participation on software quality: A case study of the Qt, VTK, and ITK projects. In Proceedings of the 11th working conference on mining software repositories . 192–201
Shane McIntosh, Yasutaka Kamei, Bram Adams, and Ahmed E Hassan. 2014 · 2014
Earlier work this paper cites.
Four eyes are better than two: On the impact of code reviews on software quality. In 2015 IEEE International Conference on Software Maintenance and Evolution (ICSME) . IEEE, 81–90
Gabriele Bavota and Barbara Russo. 2015 · 2015
Earlier work this paper cites.
Distilling the knowledge in a neural network
Geoffrey Hinton, Oriol Vinyals, and Jeff Dean. 2015 · 2015
Cited alongside, same era.
Do code review practices impact design quality? A case study of the Qt, VTK, and ITK projects. In 2015 IEEE 22nd international conference on software analysis, evolution, and reengineering (SANER) . IEEE, 171–180
Rodrigo Morales, Shane McIntosh, and Foutse Khomh. 2015 · 2015
Cited alongside, same era.
Tricorder: Building a program analysis ecosystem. In 2015 IEEE/ACM 37th IEEE International Conference on Software Engineering , Vol. 1. IEEE, 598–608
Caitlin Sadowski, Jeffrey Van Gogh, Ciera Jaspan, Emma Soderberg, and Collin Winter. 2015 · 2015
Cited alongside, same era.
Managing technical debt in software engineering (Dagstuhl seminar 16162). In Dagstuhl Reports , Vol. 6. Schloss Dagstuhl-Leibniz-Zentrum fuer Informatik
Paris Avgeriou, Philippe Kruchten, Ipek Ozkaya, and Carolyn Seaman. 2016 · 2016
Cited alongside, same era.
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, et al · 2020
Later among the works it cites.
Generative adversarial networks
Ian Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron Courville, and Yoshua Bengio. 2020 · 2020
Later among the works it cites.
Codebleu: a method for automatic evaluation of code synthesis
Shuo Ren, Daya Guo, Shuai Lu, Long Zhou, Shujie Liu, Duyu Tang, Neel Sundaresan, Ming Zhou, Ambrosio Blanco, and Shuai Ma. 2020 · 2020
Later among the works it cites.
Core: Automating review recommendation for code changes. In 2020 IEEE 27th International Conference on Software Analysis, Evolution and Reengineering (SANER) . IEEE, 284–295
Jing Kai Siow, Cuiyun Gao, Lingling Fan, Sen Chen, and Yang Liu. 2020 · 2020
Later among the works it cites.
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An empirical study of the impact of modern code review practices on software quality
Shane McIntosh, Yasutaka Kamei, Bram Adams, and Ahmed E Hassan. 2016 · 2016
Cited alongside, same era.
Learning a static analyzer from data. In International Conference on Computer Aided Verification . Springer, 233–253
Pavol Bielik, Veselin Raychev, and Martin Vechev. 2017 · 2017
Cited alongside, same era.
Continuous integration, delivery and deployment: a systematic review on approaches, tools, challenges and practices
Mojtaba Shahin, Muhammad Ali Babar, and Liming Zhu. 2017 · 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 · 2017
Cited alongside, same era.
BERT: Pre-training of deep bidirectional transformers for language understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2018 · 2018
Cited alongside, same era.
Intelligent code reviews using deep learning. In Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD’18) Deep Learning Day
Anshul Gupta and Neel Sundaresan. 2018 · 2018
Cited alongside, same era.
RoBERTa: A robustly optimized BERT pretraining approach
Yinhan Liu, Myle Ott, Naman Goyal, Jingfei Du, Mandar Joshi, Danqi Chen, Omer Levy, Mike Lewis, Luke Zettlemoyer, and Veselin Stoyanov. 2019 · 2019
Cited alongside, same era.
Language models are unsupervised multitask learners
Alec Radford, Jeffrey Wu, Rewon Child, David Luan, Dario Amodei, Ilya Sutskever, et al · 2019
Cited alongside, same era.
Ting-Rui Chiang, Yi-Pei Chen, Yi-Ting Yeh, and Graham Neubig. 2021 · 2021
Later among the works it cites.
Comparing kullback-leibler divergence and mean squared error loss in knowledge distillation
Taehyeon Kim, Jaehoon Oh, NakYil Kim, Sangwook Cho, and Se-Young Yun. 2021 · 2021
Later among the works it cites.
Towards automating code review activities. In 2021 IEEE/ACM 43rd International Conference on Software Engineering (ICSE) . 163–174
Rosalia Tufan, Luca Pascarella, Michele Tufanoy, Denys Poshyvanykz, and Gabriele Bavota. 2021 · 2021
Later among the works it cites.
Yue Wang, Weishi Wang, Shafiq Joty, and Steven CH Hoi. 2021 · 2021
Later among the works it cites.
Prototype-guided Cross-task Knowledge Distillation for Large-scale Models
Deng Li, Aming Wu, Yahong Han, and Qi Tian. 2022b · 2022
Later among the works it cites.
José Antonio Hernández López, Martin Weyssow, Jesús Sánchez Cuadrado, and Houari Sahraoui. 2022 · 2022
Later among the works it cites.
Using pre-trained models to boost code review automation
Rosalia Tufano, Simone Masiero, Antonio Mastropaolo, Luca Pascarella, Denys Poshyvanyk, and Gabriele Bavota. 2022 · 2022
Later among the works it cites.
Cross-task knowledge distillation in multi-task recommendation. In Proceedings of the AAAI Conference on Artificial Intelligence , Vol. 36. 4318–4326
Chenxiao Yang, Junwei Pan, Xiaofeng Gao, Tingyu Jiang, Dapeng Liu, and Guihai Chen. 2022 · 2022
Later among the works it cites.
Ming Zhu, Karthik Suresh, and Chandan K Reddy. 2022 · 2022
Later among the works it cites.
A Multi-Step Learning Approach to Assist Code Review. In 2023 IEEE 23rd International Conference on Software Analysis, Evolution, and Reengineering (SANER) . IEEE
Oussama Ben Sghaier and Houari Sahraoui. 2023 · 2023
Later among the works it cites.