| 2024 | Navigating the Path of Women in Software Engineering: From Academia to Industry. | Tatalina Oliveira, Ann Barcomb, Ronnie Edson de Souza Santos, Helda Barros, Maria Teresa Baldassarre, Csar Frana |
| 2024 | On the Costs and Benefits of Adopting Lifelong Learning for Software Analytics - Empirical Study on Brown Build and Risk Prediction. | Doriane Olewicki, Sarra Habchi, Mathieu Nayrolles, Mojtaba Faramarzi, Sarath Chandar, Bram Adams |
| 2024 | Are Prompt Engineering and TODO Comments Friends or Foes? An Evaluation on GitHub Copilot. | David O'Brien, Sumon Biswas, Sayem Mohammad Imtiaz, Rabe Abdalkareem, Emad Shihab, Hridesh Rajan |
| 2024 | Data-Driven Evidence-Based Syntactic Sugar Design. | David O'Brien, Robert Dyer, Tien N. Nguyen, Hridesh Rajan |
| 2024 | Analyzing Software Energy Consumption. | Adel Noureddine |
| 2024 | VGX: Large-Scale Sample Generation for Boosting Learning-Based Software Vulnerability Analyses. | Yu Nong, Richard Fang, Guangbei Yi, Kunsong Zhao, Xiapu Luo, Feng Chen, Haipeng Cai |
| 2024 | Training for Security: Results from Using a Static Analysis Tool in the Development Pipeline of Web Apps. | Sabato Nocera, Simone Romano, Rita Francese, Giuseppe Scanniello |
| 2024 | RAT: A Refactoring-Aware Tool for Tracking Code History. | Feifei Niu, Junqian Shao, Chaofan Xu, Christoph Mayr-Dorn, Wesley K. G. Assuno, Liguo Huang, Chuanyi Li, Jidong Ge, Bin Luo, Alexander Egyed |
| 2024 | FAIR: Flow Type-Aware Pre-Training of Compiler Intermediate Representations. | Changan Niu, Chuanyi Li, Vincent Ng, David Lo, Bin Luo |
| 2024 | Building Collaborative Learning: Exploring Social Annotation in Introductory Programming. | Francisco Gomes de Oliveira Neto, Felix Dobslaw |
| 2024 | Towards Reliable AI: Adequacy Metrics for Ensuring the Quality of System-level Testing of Autonomous Vehicles. | Neelofar, Aldeida Aleti |
| 2024 | NomNom: Explanatory Function Names for Program Synthesizers. | Amirmohammad Nazari, Souti Chattopadhyay, Swabha Swayamdipta, Mukund Raghothaman |
| 2024 | CNEPS: A Precise Approach for Examining Dependencies among Third-Party C/C++ Open-Source Components. | Yoonjong Na, Seunghoon Woo, Joomyeong Lee, Heejo Lee |
| 2024 | Recovering Traceability Links between Release Notes and Related Software Artifacts. | Sristy Sumana Nath, Banani Roy |
| 2024 | Using an LLM to Help With Code Understanding. | Daye Nam, Andrew Macvean, Vincent J. Hellendoorn, Bogdan Vasilescu, Brad A. Myers |
| 2024 | GenderMag Improves Discoverability in the Field, Especially for Women: An Multi-Year Case Study of Suggest Edit, a Code Review Feature. | Emerson R. Murphy-Hill, Alberto Elizondo, Ambar Murillo, Marian Harbach, Bogdan Vasilescu, Delphine Carlson, Florian Dessloch |
| 2024 | FuzzSlice: Pruning False Positives in Static Analysis Warnings through Function-Level Fuzzing. | Aniruddhan Murali, Noble Saji Mathews, Mahmoud Alfadel, Meiyappan Nagappan, Meng Xu |
| 2024 | Towards Precise Observations of Neural Model Robustness in Classification. | Wenchuan Mu, Kwan Hui Lim |
| 2024 | Industrial Challenges in Secure Continuous Development. | Fabiola Moyn, Florian Angermeir, Daniel Mndez |
| 2024 | Smart Quality Monitoring for Evolving Complex Systems. | Noura El Moussa |
| 2024 | Experiences with Summer Camp Communication via Discord. | Makayla Moster, Ella Kokinda, D. Matthew Boyer, Paige Rodeghero |
| 2024 | A New Frontier of AI: On-Device AI Training and Personalization. | Jijoong Moon, Hyeonseok Lee, Jiho Chu, Donghak Park, Seungbaek Hong, Hyungjun Seo, Donghyeon Jeong, Sungsik Kong, MyungJoo Ham |
| 2024 | Causal Graph Fuzzing for Fair ML Sofware Development. | Verya Monjezi, Ashish Kumar, Gang Tan, Ashutosh Trivedi, Saeid Tizpaz-Niari |
| 2024 | Exploring ChatGPT for Toxicity Detection in GitHub. | Shyamal Mishra, Preetha Chatterjee |
| 2024 | DronLomaly: Runtime Log-based Anomaly Detector for DJI Drones. | Wei Minn, Yan Naing Tun, Lwin Khin Shar, Lingxiao Jiang |