| 2025 | Contextual Code Retrieval for Commit Message Generation: A Preliminary Study. | Bo Xiong, Linghao Zhang, Chong Wang, Peng Liang |
| 2025 | Identifier Name Similarities: An Exploratory Study. | Carol Wong, Mai Abe, Silvia De Benedictis, Marissa Halim, Anthony Peruma |
| 2025 | Understanding Everything as Code: A Taxonomy and Conceptual Model. | Haoran Wei, Nazim H. Madhavji, John Steinbacher |
| 2025 | Go-Oracle: Automated Test Oracle for Go Concurrency Bugs. | Foivos Tsimpourlas, Chao Peng, Carlos Rosuero, Ping Yang, Ajitha Rajan |
| 2025 | Toward Real-Time Intrusion Detection for Autonomous Vehicles: A Vision for Deep Learning-Based Security Frameworks. | Damiano Torre, Amirpasha Javid |
| 2025 | On the Harmfulness of Test Smells in Manual System Testing: A Controlled Experiment. | Gabriela Soares, Vanessa Santos, Mrcio Ribeiro, Luana Almeida Martins, Valeria Pontillo, Manoel Aranda III, Rohit Gheyi, Ivan Machado, Fabio Palomba |
| 2025 | Exploring LLMs for Stakeholder-Specific Insight Generation from Software Contracts. | Jyoti S. Shukla, Aditya Kahol, Mohit Chaudhary, Preethu Rose Anish |
| 2025 | Mapping Code Smells and Refactorings Accurately: Insights from an Empirical Study. | Gautam Shetty, Tushar Sharma |
| 2025 | A Vision for Debiasing Confirmation Bias in Software Testing via LLM. | Iflaah Salman, Muhammad Waseem, Vladimir Mandic, Rasanjana Dhanushkha De Alwis |
| 2025 | Invisible Risks, Visible Code: A Vision for Understanding Ethical Debt in AI-Based Coding. | Dina Salah |
| 2025 | What About Our Bug? A Study on the Responsiveness of NPM Package Maintainers. | Mohammadreza Saeidi, Ethan Thoma, Raula Gaikovina Kula, Gema Rodrguez-Prez |
| 2025 | Developer Prompts in Practice: An Empirical Study of Bias, Security, and Optimization. | Dhia Elhaq Rzig, Dhruba Jyothi Paul, Kaiser Pister, Jordan Henkel, Foyzul Hassan |
| 2025 | Aggregating Empirical Evidence from Data Strategies Studies: A Case on Model Quantization. | Santiago del Rey, Paulo Srgio Medeiros dos Santos, Guilherme Horta Travassos, Xavier Franch, Silverio Martnez-Fernndez |
| 2025 | Secret Breach Detection in Source Code with Large Language Models. | Md Nafiu Rahman, Sadif Ahmed, Zahin Wahab, S. M. Sohan, Rifat Shahriyar |
| 2025 | Explainable AI for Identifying and Managing Test Debt in Automated Testing. | Mahsa Radnejad |
| 2025 | A Defect Taxonomy for Infrastructure as Code: A Replication Study. | Wendell Oliveira, Filipe Paiva, Thiago Emmanuel Pereira, Joo Brunet |
| 2025 | ROSE: Transformer-Based Refactoring Recommendation for Architectural Smells. | Samal Nursapa, Anastassiya Samuilova, Alessio Bucaioni, Phuong T. Nguyen |
| 2025 | Dealing with SonarQube Cloud: Initial Results from a Mining Software Repository Study. | Sabato Nocera, Davide Fucci, Giuseppe Scanniello |
| 2025 | "Is It Responsible?"Emerging Results on Comparing Guardrails for Harm Mitigation in LLM-Enhanced Software Applications. | Manoel Verssimo dos Santos Neto, Valdemar Vicente Graciano Neto, Arlindo Rodrigues Galvo Filho, Mohamad Kassab, Edson OliveiraJr |
| 2025 | An Empirical Investigation into Maintenance of Load Testing Scripts. | Ibuki Nakamura, Kosei Horikawa, Brittany Reid, Yutaro Kashiwa, Hajimu Iida |
| 2025 | Human Factors in Industrial Software Engineering - A Theory-Based Empirical Study Focused on Challenges in the Context of Software Quality and Cyber Resilience. | Philipp A. Mller |
| 2025 | Is LLM-Generated Code More Maintainable & Reliable Than Human-Written Code? | Alfred Santa Molison, Marcia Moraes, Glaucia Melo, Fabio Santos, Wesley K. G. Assuno |
| 2025 | Where Tests Fall Short: Empirically Analyzing Oracle Gaps in Covered Code. | Megan Maton, Gregory M. Kapfhammer, Phil McMinn |
| 2025 | From Assessment to Enhancement of Pull Requests at Scale: Aligning Code Reviews with Developer Competencies Using Large Language Models. | Luca Mariotto, Christian Medeiros Adriano, Ren Eichhorn, Daniel Burgstahler, Holger Giese |
| 2025 | How Do Programmers Evaluate AI-Generated Code? | Samuli Mtt |