Guglielmi, E., Rosa, G., Scalabrino, S., Bavota, G., & Oliveto, R. (2024). Help them understand: Testing and improving voice user interfaces. ACM Transactions on Software Engineering and Methodology 33, 6. DOI: https://doi.org/10.1145/3654438
Desolda G., Esposito A., Lanzilotti R., Piccinno A., Costabile M.F. (2024). From Human-Centered to Symbiotic Artificial Intelligence: a Focus on Medical Application. Multimedia Tools and Applications 84. https://doi.org/10.1007/s11042-024-20414-5
Esposito, A., Desolda, G. & Lanzilotti, R. (2024). The fine line between automation and augmentation in website usability evaluation. Scientific Reports 14. https://doi.org/10.1038/s41598-024-59616-0
Desolda G, Esposito A, Greco F, Tucci C, Buono P, Piccinno A. (2025). Understanding User Mental Models in AI-Driven Code Completion Tools: Insights from an Elicitation Study. International Journal of Human - Computer Studies 205. https://doi.org/10.1016/j.ijhcs.2025.103648
Esposito, A., Desolda, G. & Lanzilotti, R. (2025). A dataset of interactions and emotions for website user experience evaluation. Scientific Data 12, 1794. https://doi.org/10.1038/s41597-025-06079-1
Calvano M., Curci A., Desolda G., Esposito A., Lanzilotti R., Piccinno A. (2026). Building Symbiotic AI: Reviewing the AI Act for a Human-Centred, Principle-Based Framework. Minds and Machine 36, 1. https://doi.org/10.1007/s11023-025-09753-w
Buono P., Cerullo M., Cirillo S., Desolda G., Greco F., Guglielmi E., Margarella G., Polese G., Scalabrino S., Tucci C. Bug Detective and Quality Coach: Developers' Mental Models of AI-Assisted IDE Tools. Submitted to an international journal — Preprint available on arXiv: https://doi.org/10.48550/arXiv.2511.21197
Cappuccio E, Esposito A, Greco F, Desolda G, Lanzilotti R, Rinzivillo S (2025). Explanation User Interfaces: A Systematic Literature Review. Submitted to an international journal — Preprint available on arXiv: https://doi.org/10.48550/ARXIV.2505.20085
Vitale, A., Nguyen, K. N., Poshyvanyk, D., Oliveto, R., Scalabrino, S., & Mastropaolo, A. (2025). Toward Explaining Large Language Models in Software Engineering Tasks. Submitted to an international journal — Preprint available on arXiv: https://doi.org/10.48550/arXiv.2512.20328
Guglielmi, E., Arnoudova, V., Bavota, G., Oliveto, R., & Scalabrino, S. (2025). How do Copilot Suggestions Impact Developers' Frustration and Productivity?. Submitted to an international journal — Preprint of the Registered Report presented at MSR 2025 with the paper design available on arXiv: https://doi.org/10.48550/arXiv.2504.06808
Cerullo, M., Cirillo, S., Guglielmi, E., Margarella, G., Polese. G., & Scalabrino, S. (2025). Using Relaxed Functional Dependencies to Improve Personalized JIT Defect Prediction Models. Submitted to an international journal.
Vitale, A., Guglielmi, E., Piantadosi, V., Mastropaolo, A., Bavota, G., Oliveto, R., & Scalabrino, S. (2025). Revisiting Code Readability Improvement with LLMs: A Critical Assessment of Fine-Tuned Models. Submitted to an international journal.
Desolda G., Esposito A., Greco F., Tucci C., Buono P., Piccinno A. (2025). ATHENA: A customizable LLM-based Code Completion Tool for Visual Studio Code. In Companion Proceedings of the 30th International Conference on Intelligent User Interfaces (IUI '25 Companion). ACM. 120–123. https://doi.org/10.1145/3708557.3716357
Desolda G., Esposito A., Greco F., Tucci C., Buono P., Piccinno A. (2025). Designing Human-Centered Code Completion Tools in the Age of Generative AI. In CHItaly 2025: 16th Biannual Conference of the Italian SIGCHI Chapter. ACM. 1-3. https://doi.org/10.1145/3750069.3755957
Guglielmi, E., D'Aguanno, A., Oliveto, R., & Scalabrino, S. (2025). Enhancing Just-In-Time Defect Prediction Models with Developer-Centric Features. In Proceedings of the International Conference on Mining Software Repositories (MSR 2025). IEEE. 52-62. https://doi.org/10.1109/MSR66628.2025.00021
Vitale, A., Guglielmi, E., Oliveto, R., & Scalabrino, S. (2025). Personalized Code Readability Assessment: Are We There Yet?. In Proceedings of the International Conference on Program Comprehension (ICPC 2025). IEEE. 1-11. https://doi.org/10.1109/ICPC66645.2025.00019
Caruccio, L., Margarella, G. & Polese, G. (2025). GitHub Issue Mining to enhance Developer Profiling: A pipeline based on NLP tasks. In Proceedings of the International Conference on Software Engineering and Knowledge Engineering (SEKE 2025). https://doi.org/10.18293/SEKE25-044
Paolo Buono, Loredana Caruccio, Stefano Cirillo, Giuseppe Desolda, Emanuela Guglielmi, Giuseppe Polese, Simone Scalabrino (2024). State of the Art for the DevProDev Project. Technical report available at https://drive.google.com/file/d/17J6hcelGCnzwDHQZJ7HZ26LFoR_QoFUl/view?usp=sharing.
Andrea Esposito, Giuseppe Desolda & Rosa Lanzilotti (2025). Toward a Human-Centered Metric for Evaluating Trust in Artificial Intelligence Systems. In Joint Proceedings of the ACM IUI 2025 - Workshop on Adaptive eXplainable AI (AXAI '25). Available at: https://ceur-ws.org/Vol-3957/AXAI-paper13.pdf
Desolda, G., Esposito, A., Lanzilotti, R., & Piccinno, A. (2025). Designing and Evaluating Human-Centred AI Systems: Best-practices from a Multidisciplinary View. In Joint Proceedings of the ACM IUI 2025 - Workshop on Best Practices and Guidelines for Human-Centric Design and Evaluation of Proactive AI Agents (BEHAVE AI '25). Available at: https://ceur-ws.org/Vol-3957/BEHAVEAI-paper05.pdf