AI4SWEng advances the state of the art in AI for software engineering. Throughout the course of the project and afterwards, we contribute to the advancement of scientific knowledge by presenting our work at scientific conferences and publishing it scientific journals. All of our scientific output will be publicly available via open-access platforms. This page presents all of our completed scientific output.
| Title | Authors | Event/Publication | Link |
|---|---|---|---|
| 2025 | |||
| AI4SWEng manifest: Empowering the future of software engineering with advanced trustworthy artificial intelligence | A.S. Atalay, Ö. Öztin, A. Kanak, İ. Arif, A. Badii, S. Ergün, S.H. Ergün, O. Herkiloğlu et al. | Open Research Europe | https://open-research-europe.ec.europa.eu/articles/5-352/v1 |
| Optimizing Deep Learning Models to Address Class Imbalance in Code Comment Classification | M. Mock, T. Borsani, G. Di Fatta, B. Russo | 2025 IEEE/ACM International Workshop on Natural Language-Based Software Engineering (NLBSE) | https://arxiv.org/abs/2501.15854 |
| Text2Stories: Evaluating the Alignment Between Stakeholder Interviews and Generated User Stories | F. Dente, F. Dalpiaz, P. Papotti | European Chapter of the ACL (EACL) | https://arxiv.org/abs/2510.08622 |
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