| 2024 | Neural Exception Handling Recommender. | Yi Li, Tien N. Nguyen, Yuchen Cai, Aashish Yadavally, Abhishek Mishra, Genesis Montejo |
| 2024 | Technical Brief on Software Engineering for FMware. | Dayi Lin, Filipe Roseiro Cgo, Gopi Krishnan Rajbahadur, Ahmed E. Hassan |
| 2024 | Poirot: Deep Learning for API Misuse Detection. | Yi Li, Tien N. Nguyen, Shaohua Wang, Aashish Yadavally |
| 2024 | On the Helpfulness of Answering Developer Questions on Discord with Similar Conversations and Posts from the Past. | Alexander Lill, Andr N. Meyer, Thomas Fritz |
| 2024 | ECFuzz: Effective Configuration Fuzzing for Large-Scale Systems. | Junqiang Li, Senyi Li, Keyao Li, Falin Luo, Hongfang Yu, Shanshan Li, Xiang Li |
| 2024 | Challenges, Strengths, and Strategies of Software Engineers with ADHD: A Case Study. | Grischa Liebel, Noah Langlois, Kiev Gama |
| 2024 | RUNNER: Responsible UNfair NEuron Repair for Enhancing Deep Neural Network Fairness. | Tianlin Li, Yue Cao, Jian Zhang, Shiqian Zhao, Yihao Huang, Aishan Liu, Qing Guo, Yang Liu |
| 2024 | Imperfect Code Generation: Uncovering Weaknesses in Automatic Code Generation by Large Language Models. | Xiaoli Lian, Shuaisong Wang, Jieping Ma, Xin Tan, Fang Liu, Lin Shi, Cuiyun Gao, Li Zhang |
| 2024 | PonziGuard: Detecting Ponzi Schemes on Ethereum with Contract Runtime Behavior Graph (CRBG). | Ruichao Liang, Jing Chen, Kun He, Yueming Wu, Gelei Deng, Ruiying Du, Cong Wu |
| 2024 | A Large-Scale Survey on the Usability of AI Programming Assistants: Successes and Challenges. | Jenny T. Liang, Chenyang Yang, Brad A. Myers |
| 2024 | Unveiling the Life Cycle of User Feedback: Best Practices from Software Practitioners. | Ze Shi Li, Nowshin Nawar Arony, Kezia Devathasan, Manish Sihag, Neil A. Ernst, Daniela E. Damian |
| 2024 | A Framework for Microservice Organizational Structure Optimization. | Xiaozhou Li, Michele Albano |
| 2024 | MalCertain: Enhancing Deep Neural Network Based Android Malware Detection by Tackling Prediction Uncertainty. | Haodong Li, Guosheng Xu, Liu Wang, Xusheng Xiao, Xiapu Luo, Guoai Xu, Haoyu Wang |
| 2024 | Alexa, is the skill always safe? Uncover Lenient Skill Vetting Process and Protect User Privacy at Run Time. | Tu Le, Dongfang Zhao, Zihao Wang, XiaoFeng Wang, Yuan Tian |
| 2024 | TAMVE: Properties of Design Technologies to Address Challenges to Software Design in the Era of Agility and Frameworks. | Timothy Lethbridge |
| 2024 | Managing API Evolution in Microservice Architecture. | Alexander Lercher |
| 2024 | Adopting an Agile Approach for Reflective Learning and Teaching. | Eleanor Leist, Jaejoon Lee |
| 2024 | Let's Ask AI About Their Programs: Exploring ChatGPT's Answers To Program Comprehension Questions. | Teemu Lehtinen, Charles Koutcheme, Arto Hellas |
| 2024 | Expert Monitoring: Human-Centered Concept Drift Detection in Machine Learning Operations. | Joran Leest, Claudia Raibulet, Ilias Gerostathopoulos, Patricia Lago |
| 2024 | Daedalux: An Extensible Platform for Variability-Aware Model Checking. | Sami Lazreg, Maxime Cordy, Simon Thrane Hansen, Axel Legay |
| 2024 | Teaching Software Development for Real-World Problems using a Microservice-Based Collaborative Problem-Solving Approach. | Yi Meng Lau, Christian Michael Koh, Lingxiao Jiang |
| 2024 | Deeply Reinforcing Android GUI Testing with Deep Reinforcement Learning. | Yuanhong Lan, Yifei Lu, Zhong Li, Minxue Pan, Wenhua Yang, Tian Zhang, Xuandong Li |
| 2024 | Software in the Manufacturing Industry: Emerging Security Challenge Areas for IIoT Platforms. | Yannick Landeck, Dian Balta, Martin Wimmer, Christian Knierim |
| 2024 | Dealing With Cultural Dispersion: a Novel Theoretical Framework for Software Engineering Research and Practice. | Stefano Lambiase, Gemma Catolino, Bice Della Piana, Filomena Ferrucci, Fabio Palomba |
| 2024 | Investigating Cultural Dispersion: on the Role of Cultural Differences in Software Development Teams. | Stefano Lambiase |