[fg-arc] 2nd International Workshop on Software Architecture and Generative AI (SAGAI) - Call for Workshop Papers

[Elberzhager, Frank]

*** First Call for Research Papers ***

2nd International Workshop on Software Architecture and Generative AI (SAGAI)
https://www.iese.fraunhofer.de/en/events/sagai.html

The SAGAI 2026 Workshop is co-located with the 23rd IEEE International Conference on Software Architecture (ICSA'26)<https://conf.researchr.org/home/icsa-2026> in Amsterdam (Netherlands), and will take place in a date to be defined between June 22 and 23, 2026.


Generative AI has become a pervasive topic in recent years, attracting the attention of researchers and practitioners. As the software engineering community begins to explore it, there is a pressing need for developments and contributions from the software architecture community. SAGAI 2026, the 2nd International Workshop on Software Architecture and Generative AI, aims at the consolidation of a community dedicated to exploring the opportunities and limitations of generative AI in software architecture.

SAGAI's second edition aims to contribute to the establishment of a community of researchers focused on exploring novel ways of using generative AI to improve both development time and runtime aspects of software architectures. To achieve this, we have the following specific objectives:

  *   To provide a forum for scientists and practitioners within the software architecture community to reflect on the potential and limitations of generative AI in software architecture;
  *   To disseminate early results in the field of generative AI for software architecture;
  *   To explore how generative AI can support different audiences (e.g., software architects, developers, requirements engineers, and end users) across architecture activities (e.g., identification of architecture-significant requirements, architectural design, evaluation, implementation, and governance).
  *   To stimulate the investigation of generative AI at runtime in software architectures to address quality attributes such as adaptability, fault tolerance, interoperability, operability, and recoverability, among others.

TOPICS OF INTEREST

  *   GenAI at DT
     *   Approaches to use generative AI in architecture design and evaluation;
     *   Generative AI to support architecture knowledge management;
     *   Generative AI to support the elaboration of architecture scenarios descriptions;
     *   Generative AI to support the elaboration architecture evaluation protocols;
     *   Integration and interaction of generative AI methods and tools with existing state of the practice tools;
     *   Improvement of context knowledge used by co-pilots and LLMs in multiple contexts;
     *   Approaches to use generative AI in modernization of legacy systems;
     *   Experiences and ideas on teaching generative AI techniques to software architects;
  *   GenAI at RT
     *   Architectures to use generative AI at runtime to implement functional requirements;
     *   Approaches to use generative AI at runtime to address quality requirements;
     *   Tactics to deal with the non-deterministic character of generative AI to allow for effective and efficient solutions at runtime.

 TYPES OF CONTRIBUTION

  *   Full papers: complete research approaches and industry experiences (max. 10 pages).
  *   Short papers: ongoing research initiatives with early results, argued positions, and emerging novel ideas (max. 6 pages).

Submissions proceed via EasyChair<https://easychair.org/conferences?conf=icsa2026>.
All submissions must adhere to the IEEE Template for conference proceedings<https://www.ieee.org/conferences/publishing/templates.html>.

PROCEEDINGS
All accepted papers will appear in the ICSA 2026 Companion proceedings

IMPORTANT DATES

  *   Submission: Feb 13, 2026
  *   Notification: Mar 13, 2026
  *   Camera-ready: Mar 27, 2026
  *   Workshop date: Jun 22 or 23, 2026 (tbd)

WORKSHOP ORGANIZERS

  *   Dr. Rodrigo Falcão, Fraunhofer IESE, Germany
  *   Prof. Dr. Rafael Capilla, Universidad Rey Juan Carlos, Spain
  *   Dr. Frank Elberzhager, Fraunhofer IESE, Germany
  *   Dr. Pablo Oliveira Antonino, Fraunhofer IESE, Germany
  *   Dr. Ivan Compagnucci, Gran Sasso Science Institute, Italy


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