| 2024 | Towards Comprehending Energy Consumption of Database Management Systems - A Tool and Empirical Study. | Hemasri Sai Lella, Rajrupa Chattaraj, Sridhar Chimalakonda, Kurra Manasa |
| 2024 | Software Vulnerability Prediction in Low-Resource Languages: An Empirical Study of CodeBERT and ChatGPT. | Triet Huynh Minh Le, Muhammad Ali Babar, Tung Hoang Thai |
| 2024 | Cultural and Socio-Technical Aspects in Software Development. | Stefano Lambiase |
| 2024 | Code Summarization without Direct Access to Code - Towards Exploring Federated LLMs for Software Engineering. | Jahnavi Kumar, Sridhar Chimalakonda |
| 2024 | Analyzing Prerequistes of known Deserializtion Vulnerabilities on Java Applications. | Bruno Kreyssig, Alexandre Bartel |
| 2024 | LLM Security Guard for Code. | Arya Kavian, Mohammad Mehdi Pourhashem Kallehbasti, Sajjad Kazemi, Ehsan Firouzi, Mohammad Ghafari |
| 2024 | Harnessing No-Code Blockchain for DeFi: A Microcredit Case Study on AstraKode Blockchain. | Fabiano Izzo, Damiano D'Amici |
| 2024 | An Empirical Study on Code Coverage of Performance Testing. | Muhammad Imran, Vittorio Cortellessa, Davide Di Ruscio, Riccardo Rubei, Luca Traini |
| 2024 | When simplicity meets effectiveness: Detecting code comments coherence with word embeddings and LSTM. | Michael Dubem Igbomezie, Phuong T. Nguyen, Davide Di Ruscio |
| 2024 | The Promise and Challenges of Using LLMs to Accelerate the Screening Process of Systematic Reviews. | Aleksi Huotala, Miikka Kuutila, Paul Ralph, Mika Mntyl |
| 2024 | Context Switch Sensitive Fault Localization. | Ferenc Horvth, Roland Aszmann, Pter Attila Soha, rpd Beszdes, Tibor Gyimthy |
| 2024 | An LLM-based Approach to Recover Traceability Links between Security Requirements and Goal Models. | Jameleddine Hassine |
| 2024 | Taming App Reliability: Mobile Analytics "in the wild". | Julian Harty, Arosha K. Bandara |
| 2024 | The Role of Software Measurement in Assured LLM-Based Software Engineering. | Mark Harman |
| 2024 | Improving classifier-based effort-aware software defect prediction by reducing ranking errors. | Yuchen Guo, Martin J. Shepperd, Ning Li |
| 2024 | Supporting Developers' Emotional Awareness: from Self-reported Emotions to Biometrics. | Daniela Grassi |
| 2024 | Insight AI Risk Detection Model - Vulnerable People Emotional Situation Support. | Diego Gosmar, Elena Peretto, Oita Coleman |
| 2024 | Mutation Testing for Task-Oriented Chatbots. | Pablo Gmez-Abajo, Sara Prez-Soler, Pablo C. Caizares, Esther Guerra, Juan de Lara |
| 2024 | Gamifying Business Process Modeling Education: A Longitudinal Study. | Giacomo Garaccione, Riccardo Coppola, Luca Ardito |
| 2024 | Toward a Search-Based Approach to Support the Design of Security Tests for Malicious Network Traffic. | Davide La Gamba, Gerardo Iuliano, Gilberto Recupito, Giammaria Giordano, Filomena Ferrucci, Dario Di Nucci, Fabio Palomba |
| 2024 | Detecting Security Fixes in Open-Source Repositories using Static Code Analyzers. | Therese Fehrer, Roco Cabrera Lozoya, Antonino Sabetta, Dario Di Nucci, Damian A. Tamburri |
| 2024 | Leveraging Large Language Models for Preliminary Security Risk Analysis: A Mission-Critical Case Study. | Matteo Esposito, Francesco Palagiano |
| 2024 | An Extensive Comparison of Static Application Security Testing Tools. | Matteo Esposito, Valentina Falaschi, Davide Falessi |
| 2024 | Adversarial Attack and Robustness Improvement on Code Summarization. | Xi Ding, Yuan Huang, Xiangping Chen, Jing Bian |
| 2024 | LEGION: Harnessing Pre-trained Language Models for GitHub Topic Recommendations with Distribution-Balance Loss. | Yen-Trang Dang, Thanh Le-Cong, Phuc-Thanh Nguyen, Anh M. T. Bui, Phuong T. Nguyen, Bach Le, Quyet-Thang Huynh |