WORKSHOP OVERVIEW:

Today the adjective “smart” accompanies nearly every digital innovation—from everyday mobile apps to complex, safety-critical industrial systems. Software Engineering (SE) is no exception: modern products must evolve rapidly, tolerate change, and remain dependable. Yet the artefacts we create—requirements, models, code, tests, deployment scripts—grow so intricate that no engineer can grasp all their subtleties unaided. Recent breakthroughs in Artificial Intelligence (AI) and automated reasoning now offer practical ways to interrogate these artefacts, surface hidden defects, generate missing pieces, and guide continuous evolution. Conversely, time-tested SE practices are increasingly vital for constructing AI-based systems that are reliable, transparent, and maintainable. Progress therefore rests on two intertwined research fronts:

• - Applying intelligence to software engineering – infusing analysis, design, implementation, and maintenance tasks with machine learning, search-based optimisation, large-language-model assistants, and other AI tooling.
• - Applying software engineering to intelligence – harnessing requirements engineering, modular architectures, testing, DevOps, and governance to produce AI components that earn users’ trust. The proposed International Workshop on Intelligent Software Engineering Automation (ISEA) will unite researchers and practitioners who pursue either (or both) of these directions, providing a forum for fresh ideas, empirical insights, and industrial experience reports.