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While code review is central to the software development process, it can be tedious and expensive to carry out.
Classifying software changes: Clean or buggy?
Sunghun Kim, James Whitehead, and Yi Zhang. 2008 · 2008
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Code reviews do not find bugs. how the current code review best practice slows us down. In 37th International Conference on Software Engineering , Vol. 2. IEEE, Florence, Italy, 27–28
Jacek Czerwonka, Michaela Greiler, and Jack Tilford. 2015 · 2015
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Do code review practices impact design quality? a case study of the qt, vtk, and itk projects. In 22nd international conference on software analysis, evolution, and reengineering (SANER) . IEEE, Montreal, Canada, 171–180
Rodrigo Morales, Shane McIntosh, and Foutse Khomh. 2015 · 2015
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DeepReview: Automatic Code Review Using Deep Multi-instance Learning. In Advances in Knowledge Discovery and Data Mining , Qiang Yang, Zhi-Hua Zhou, Zhiguo Gong, Min-Ling Zhang, and Sheng-Jun Huang (Eds.). Springer International Publishing, Cham, 318–330
Heng-Yi Li, Shu-Ting Shi, Ferdian Thung, Xuan Huo, Bowen Xu, Ming Li, and David Lo. 2019 · 2019
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Automatic code review by learning the revision of source code. In Proceedings of the AAAI Conference on Artificial Intelligence , Vol. 33. AAAI, Honolulu, HI, USA, 4910–4917
Shu-Ting Shi, Ming Li, David Lo, Ferdian Thung, and Xuan Huo. 2019 · 2019
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Program synthesis with large language models
Jacob Austin, Augustus Odena, Maxwell Nye, Maarten Bosma, Henryk Michalewski, David Dohan, Ellen Jiang, Carrie Cai, Michael Terry, Quoc Le, et al · 2021
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Evaluating large language models trained on code
Mark Chen, Jerry Tworek, Heewoo Jun, Qiming Yuan, Henrique Ponde de Oliveira Pinto, Jared Kaplan, Harri Edwards, Yuri Burda, Nicholas Joseph, Greg Brockman, et al · 2021
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Using pre-trained models to boost code review automation
Rosalia Tufano, Simone Masiero, Antonio Mastropaolo, Luca Pascarella, Denys Poshyvanyk, and Gabriele Bavota. 2022 · 2022
Cited alongside, same era.
ReCode: Robustness Evaluation of Code Generation Models
Shiqi Wang, Zheng Li, Haifeng Qian, Chenghao Yang, Zijian Wang, Mingyue Shang, Varun Kumar, Samson Tan, Baishakhi Ray, Parminder Bhatia, et al · 2022
Cited alongside, same era.
Falcon-40B: An open large language model with state-of-the-art performance
Ebtesam Almazrouei, Hamza Alobeidli, Abdulaziz Alshamsi, Alessandro Cappelli, Ruxandra Cojocaru, Merouane Debbah, Etienne Goffinet, Daniel Heslow, Julien Launay, Quentin Malartic, Badreddine Noune, Baptiste Pannier, and Guilherme Penedo. 2023 · 2023
Cited alongside, same era.
Free Dolly: Introducing the World’s First Truly Open Instruction-Tuned LLM
Mike Conover, Matt Hayes, Ankit Mathur, Jianwei Xie, Jun Wan, Sam Shah, Ali Ghodsi, Patrick Wendell, Matei Zaharia, and Reynold Xin. 2023 · 2023
Cited alongside, same era.
Common Weakness Enumeration
MITRE. 2023 · 2023
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Code Revert Prediction with Graph Neural Networks: A Case Study at J.P. Morgan Chase. In 1st International Workshop on Software Defect Datasets . ACM, San Francisco, CA, USA, 1–5
Yulong Pei, Salwa Alamir, Rares Dolga, and Sameena Shah. 2023 · 2023
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Code llama: Open foundation models for code
Baptiste Roziere, Jonas Gehring, Fabian Gloeckle, Sten Sootla, Itai Gat, Xiaoqing Ellen Tan, Yossi Adi, Jingyu Liu, Tal Remez, Jérémy Rapin, et al · 2023
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Automated Identification of Toxic Code Reviews Using ToxiCR
Jaydeb Sarker, Asif Kamal Turzo, Ming Dong, and Amiangshu Bosu. 2023 · 2023
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SecurityEval
Latif Sunny and Joanna Santos. 2023 · 2023
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Akshita Jha and Chandan K Reddy. 2023 · 2023
Cited alongside, same era.
Is Your Code Generated by ChatGPT Really Correct? Rigorous Evaluation of Large Language Models for Code Generation
Jiawei Liu, Chunqiu Xia, Yuyao Wang, and Lingming Zhang. 2023 · 2023
Cited alongside, same era.
LLaMA-Reviewer: Advancing Code Review Automation with Large Language Models through Parameter-Efficient Fine-Tuning. In IEEE 34th International Symposium on Software Reliability Engineering . IEEE, Florence, Italy, 647–658
Junyi Lu, Lei Yu, Xiaojia Li, Li Yang, and Chun Zuo. 2023 · 2023
Cited alongside, same era.
Search-Based Optimisation of LLM Learning Shots for Story Point Estimation. In International Symposium on Search-Based Software Engineering . Springer, San Francisco, CA, USA, 123–129
Vali Tawosi, Salwa Alamir, and Xiaomo Liu. 2023 · 2023
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Llama 2: Open foundation and fine-tuned chat models
Hugo Touvron, Louis Martin, Kevin Stone, Peter Albert, Amjad Almahairi, Yasmine Babaei, Nikolay Bashlykov, Soumya Batra, Prajjwal Bhargava, Shruti Bhosale, et al · 2023
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