| 2024 | Introducing Computer Science Undergraduate Students to DevOps Technologies from Software Engineering Fundamentals. | Edgar Sarmiento-Calisaya, Alvaro H. Mamani-Aliaga, Julio Csar Sampaio do Prado Leite |
| 2024 | TestSpark: IntelliJ IDEA's Ultimate Test Generation Companion. | Arkadii Sapozhnikov, Mitchell Olsthoorn, Annibale Panichella, Vladimir Kovalenko, Pouria Derakhshanfar |
| 2024 | Breaking the Silence: the Threats of Using LLMs in Software Engineering. | June Sallou, Thomas Durieux, Annibale Panichella |
| 2024 | eAIEDF: Extended AI Error Diagnosis Flowchart for Automatically Identifying Misprediction Causes in Production Models. | Keita Sakuma, Ryuta Matsuno, Yoshio Kameda |
| 2024 | Automated Detection of AI-Obfuscated Plagiarism in Modeling Assignments. | Timur Saglam, Sebastian Hahner, Larissa Schmid, Erik Burger |
| 2024 | Obfuscation-Resilient Software Plagiarism Detection with JPlag. | Timur Saglam, Sebastian Hahner, Larissa Schmid, Erik Burger |
| 2024 | Detecting Automatic Software Plagiarism via Token Sequence Normalization. | Timur Saglam, Moritz Brdel, Larissa Schmid, Sebastian Hahner |
| 2024 | GitBug-Actions: Building Reproducible Bug-Fix Benchmarks with GitHub Actions. | Nuno Saavedra, Andr Silva, Martin Monperrus |
| 2024 | Naturalness of Attention: Revisiting Attention in Code Language Models. | Mootez Saad, Tushar Sharma |
| 2024 | Deductive Software Architecture Recovery via Chain-of-thought Prompting. | Satrio Adi Rukmono, Lina Ochoa, Michel Chaudron |
| 2024 | Beyond Accuracy and Robustness Metrics for Large Language Models for Code. | Daniel Rodrguez-Crdenas |
| 2024 | Blocks? Graphs? Why Not Both? Designing and Evaluating a Hybrid Programming Environment for End-users. | Nico Ritschel, Felipe Fronchetti, Reid Holmes, Ronald Garcia, David C. Shepherd |
| 2024 | GoSpeechLess: Interoperable Serverless ML-based Cloud Services. | Sashko Ristov, Philipp Gritsch, David Meyer, Michael Felderer |
| 2024 | Software Engineering Research in a World with Generative Artificial Intelligence. | Martin C. Rinard |
| 2024 | DEMISTIFY: Identifying On-device Machine Learning Models Stealing and Reuse Vulnerabilities in Mobile Apps. | Pengcheng Ren, Chaoshun Zuo, Xiaofeng Liu, Wenrui Diao, Qingchuan Zhao, Shanqing Guo |
| 2024 | SLIM: a Scalable Light-weight Root Cause Analysis for Imbalanced Data in Microservice. | Rui Ren, Jingbang Yang, Linxiao Yang, Xinyue Gu, Liang Sun |
| 2024 | DeepLSH: Deep Locality-Sensitive Hash Learning for Fast and Efficient Near-Duplicate Crash Report Detection. | Youcef Remil, Anes Bendimerad, Romain Mathonat, Chedy Rassi, Mehdi Kaytoue |
| 2024 | Designing Digital Twins for Enhanced Reusability. | Olga Ratushniak, Beatriz Cabrero-Daniel |
| 2024 | Sustainable Adaptive Security. | Kushal Ramkumar |
| 2024 | FlakeSync: Automatically Repairing Async Flaky Tests. | Shanto Rahman, August Shi |
| 2024 | Towards Causal Deep Learning for Vulnerability Detection. | Md Mahbubur Rahman, Ira Ceka, Chengzhi Mao, Saikat Chakraborty, Baishakhi Ray, Wei Le |
| 2024 | Exploring Data Cleanness in Defects4J and Its Influence on Fault Localization Efficiency. | Md Nakhla Rafi, An Ran Chen, Tse-Hsun (Peter) Chen, Shaohua Wang |
| 2024 | Executable Multi-Layered Software Models. | Luks Radosk, Ivan Polsek |
| 2024 | eFish'nSea: Unity Game Set for Learning Software Performance Issues Root Causes and Resolutions. | Andrew Quinlan, Ryan Mercadante, Vincent Tufo, Jonathan Morrone, Lu Xiao |
| 2024 | Autonomic Testing: Testing with Scenarios from Production. | Ketai Qiu |