| 2023 | CrossCodeBench: Benchmarking Cross-Task Generalization of Source Code Models. | Changan Niu, Chuanyi Li, Vincent Ng, Bin Luo |
| 2023 | An Empirical Comparison of Pre-Trained Models of Source Code. | Changan Niu, Chuanyi Li, Vincent Ng, Dongxiao Chen, Jidong Ge, Bin Luo |
| 2023 | RAT: A Refactoring-Aware Traceability Model for Bug Localization. | Feifei Niu, Wesley K. G. Assuno, LiGuo Huang, Christoph Mayr-Dorn, Jidong Ge, Bin Luo, Alexander Egyed |
| 2023 | Learning Deep Semantics for Test Completion. | Pengyu Nie, Rahul Banerjee, Junyi Jessy Li, Raymond J. Mooney, Milos Gligoric |
| 2023 | From Organizations to Individuals: Psychoactive Substance Use By Professional Programmers. | Kaia Newman, Madeline Endres, Westley Weimer, Brittany Johnson |
| 2023 | Code Review of Build System Specifications: Prevalence, Purposes, Patterns, and Perceptions. | Mahtab Nejati, Mahmoud Alfadel, Shane McIntosh |
| 2023 | Retrieval-Based Prompt Selection for Code-Related Few-Shot Learning. | Noor Nashid, Mifta Sintaha, Ali Mesbah |
| 2023 | Improving API Knowledge Discovery with ML: A Case Study of Comparable API Methods. | Daye Nam, Brad A. Myers, Bogdan Vasilescu, Vincent J. Hellendoorn |
| 2023 | Towards Formal Repair and Verification of Industry-scale Deep Neural Networks. | Satoshi Munakata, Susumu Tokumoto, Koji Yamamoto, Kazuki Munakata |
| 2023 | Analysing the Impact of Workloads on Modeling the Performance of Configurable Software Systems. | Stefan Mhlbauer, Florian Sattler, Christian Kaltenecker, Johannes Dorn, Sven Apel, Norbert Siegmund |
| 2023 | Developer-Intent Driven Code Comment Generation. | Fangwen Mu, Xiao Chen, Lin Shi, Song Wang, Qing Wang |
| 2023 | Understanding Why and Predicting When Developers Adhere to Code-Quality Standards. | Manish Motwani, Yuriy Brun |
| 2023 | Better Automatic Program Repair by Using Bug Reports and Tests Together. | Manish Motwani, Yuriy Brun |
| 2023 | ECSTATIC: An Extensible Framework for Testing and Debugging Configurable Static Analysis. | Austin Mordahl, Zenong Zhang, Dakota Soles, Shiyi Wei |
| 2023 | Information-Theoretic Testing and Debugging of Fairness Defects in Deep Neural Networks. | Verya Monjezi, Ashutosh Trivedi, Gang Tan, Saeid Tizpaz-Niari |
| 2023 | Towards machine learning guided by best practices. | Anamaria Mojica-Hanke |
| 2023 | Using Focus to Personalise Learning and Feedback in Software Engineering Education. | Bansri Amish Modi, Andrew Cain, Guy Wood-Bradley, Jake Renzella |
| 2023 | GUI Testing to the Power of Parallel Q-Learning. | Marco Mobilio, Diego Clerissi, Giovanni Denaro, Leonardo Mariani |
| 2023 | Identifying missing relationships of CAPEC attack patterns by transformer models and graph structure. | Rikuho Miyata, Hironori Washizaki, Kensuke Sumoto, Nobukazu Yoshioka, Yoshiaki Fukazawa, Takao Okubo |
| 2023 | A Framework to Communicate Software Engineering Data Effectively with Dashboards. | Alessandra Maciel Paz Milani |
| 2023 | Lejacon: A Lightweight and Efficient Approach to Java Confidential Computing on SGX. | Xinyuan Miao, Ziyi Lin, Shaojun Wang, Lei Yu, Sanhong Li, Zihan Wang, Pengbo Nie, Yuting Chen, Beijun Shen, He Jiang |
| 2023 | Template-based Neural Program Repair. | Xiangxin Meng, Xu Wang, Hongyu Zhang, Hailong Sun, Xudong Liu, Chunming Hu |
| 2023 | Assurance Case Development as Data: A Manifesto. | Claudio Menghi, Torin Viger, Alessio Di Sandro, Chris Rees, Jeff Joyce, Marsha Chechik |
| 2023 | Designing Adaptive Developer-Chatbot Interactions: Context Integration, Experimental Studies, and Levels of Automation. | Glaucia Melo |
| 2023 | Evolutionary Approach for Concurrency Testing of Ripple Blockchain Consensus Algorithm. | Martijn van Meerten, Burcu Kulahcioglu Ozkan, Annibale Panichella |