SAGAI’27 - Fraunhofer IESE

Workshop / March 08, 2027 - March 09, 2027

SAGAI 2027

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 2027, the 3^rd 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.

The SAGAI 2027 Workshop is co-located with the 24^th IEEE International Conference on Software Architecture (ICSA'27) in Sydney (Australia), and will take place in a date to be defined between March 8 and 9, 2027.

Event details

Location

Sydney (Australia) -- co-located with ICSA'26

Date

March 08, 2027 - March 09, 2027

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CALL FOR PAPERS

SAGAI's third 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@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@RT
- Architectures to use generative AI at runtime to implement functional requirements;
- Approaches to use generative AI at runtime to address quality requirements;
- Architectures to enable systems to self-code at runtime, with correctness and reliability;
- 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. 8 pages).
Short papers: ongoing research initiatives with early results, argued positions, and emerging novel ideas (max. 6 pages).

Submissions proceed via EasyChair

All submissions must adhere to the IEEE Template for conference proceedings

PROCEEDINGS

All accepted papers will appear in the ICSA 2027 Companion proceedings.