| 2024 | Exploring Influence of Feature Toggles on Code Complexity. | Tajmilur Rahman, Imran Shalabi, Tushar Sharma |
| 2024 | Aligning Academic with Industrial Needs: Investigating DevOps. | Saima Rafi, Muhammad Azeem Akbar, Sajjad Mahmood |
| 2024 | Insights Into Test Code Quality Prediction: Managing Machine Learning Techniques. | Valeria Pontillo |
| 2024 | Automatic detection and correction of code errors applying machine learning - current research state. | Aneta Poniszewska-Maranda, Wiktoria Sarniak |
| 2024 | Triaging Microservice Security Smells, with TriSS. | Francisco Ponce, Jacopo Soldani, Carla Taramasco, Hernn Astudillo, Antonio Brogi |
| 2024 | Learning Programming without Teachers: An Ongoing Ethnographic Study at 42. | Nicol Pollini, Kevin Maggi, Roberto Verdecchia, Enrico Vicario |
| 2024 | Leveraging Statistical Machine Translation for Code Search. | Hung Phan, Ali Jannesari |
| 2024 | Unraveling the Influences on Bug Fixing Time: A Comparative Analysis of Causal Inference Model. | Sien Reeve Ordonez Peralta, Hironori Washizaki, Yoshiaki Fukazawa, Yuki Noyori, Shuhei Nojiri, Hideyuki Kanuka |
| 2024 | Why Large Language Models will (not) Kill Software Engineering Research. | Massimiliano Di Penta |
| 2024 | Automated evaluation of game content display using deep learning. | Ciprian Paduraru, Marina Cernat, Alin Stefanescu |
| 2024 | Vulnerability Detection for software-intensive system. | Refat Tahseen Othman |
| 2024 | Surfing the AI Wave in Software Engineering: Opportunities and Challenges. | Nicole Novielli |
| 2024 | Toward a Human-Centered Framework for Trustworthy, Safe and Ethical Generative Artificial Intelligence: A Multi-Level Analysis of Large Language Models Social Impact. | Berenice Fernndez Nieto |
| 2024 | What You Use is What You Get: Unforced Errors in Studying Cultural Aspects in Agile Software Development. | Michael Neumann, Klaus Schmid, Lars Baumann |
| 2024 | An Empirical Study on the Energy Usage and Performance of Pandas and Polars Data Analysis Python Libraries. | Felix Nahrstedt, Mehdi Karmouche, Karolina Bargiel, Pouyeh Banijamali, Apoorva Nalini Pradeep Kumar, Ivano Malavolta |
| 2024 | Automated Software Vulnerability Detection in Statement Level using Vulnerability Reports. | Rabaya Sultana Mim, Toukir Ahammed, Kazi Sakib |
| 2024 | An Empirical Study on How Large Language Models Impact Software Testing Learning. | Simone Mezzaro, Alessio Gambi, Gordon Fraser |
| 2024 | Towards Predicting Fragility in End-to-End Web Tests. | Sergio Di Meglio, Luigi Libero Lucio Starace |
| 2024 | New experimental design to capture bias using LLM to validate security threats. | Winnie Bahati Mbaka |
| 2024 | Mining REST APIs for Potential Mass Assignment Vulnerabilities. | Arash Mazidi, Davide Corradini, Mohammad Ghafari |
| 2024 | How the Training Procedure Impacts the Performance of Deep Learning-based Vulnerability Patching. | Antonio Mastropaolo, Vittoria Nardone, Gabriele Bavota, Massimiliano Di Penta |
| 2024 | CLAIM: a Lightweight Approach to Identify Microservices in Dockerized Environments. | Kevin Maggi, Roberto Verdecchia, Leonardo Scommegna, Enrico Vicario |
| 2024 | Automatic Assessment of Architectural Anti-patterns and Code Smells in Student Software Projects. | Marco De Luca, Sergio Di Meglio, Anna Rita Fasolino, Luigi Libero Lucio Starace, Porfirio Tramontana |
| 2024 | Negative Complement of a Set of Vulnerability-Fixing Commits: Method and Dataset. | Roco Cabrera Lozoya, Antonino Sabetta, Tommaso Aiello |
| 2024 | AI-Generated Test Scripts for Web E2E Testing with ChatGPT and Copilot: A Preliminary Study. | Maurizio Leotta, Hafiz Zeeshan Yousaf, Filippo Ricca, Boni Garca |