Abstract
One of the hurdles of integrating generative AI (GenAI) tools into existing software engineering workflows is that the outputs generated by the foundational models are not tailored to specific company standards and developers' individual preferences. This challenge has prevented many companies from adopting AI-assisted software engineering across their workflows. This PhD project aims therefore at investigating in the next three years different methods and tools for providing tailored and personalized GenAI outputs taking both company standards and developers' preferences into account. The objective is to facilitate GenAI integration into existing software engineering workflows and boost adoption across different software engineering activities.
| Original language | English |
|---|---|
| Title of host publication | Proceedings - 2026 IEEE/ACM 48th International Conference on Software Engineering : Companion Proceedings, ICSE-Companion 2026 |
| Number of pages | 3 |
| Publisher | Association for Computing Machinery |
| Publication date | 9. Sept 2026 |
| Pages | 274-276 |
| ISBN (Electronic) | 9798400722967 |
| DOIs | |
| Publication status | Published - 9. Sept 2026 |
| Event | 48th International Conference on Software Engineering: Companion Proceedings, ICSE-Companion 2026 - Rio de Janeiro, Brazil Duration: 12. Apr 2026 → 18. Apr 2026 |
Conference
| Conference | 48th International Conference on Software Engineering: Companion Proceedings, ICSE-Companion 2026 |
|---|---|
| Country/Territory | Brazil |
| City | Rio de Janeiro |
| Period | 12/04/2026 → 18/04/2026 |
Bibliographical note
Publisher Copyright:© 2026 Copyright held by the owner/author(s).
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