Welcome to the website of the AIware 2027 conference. The website is continuously being updated with more information.

Software for All and by All

AI is transforming both the software we build and the way we build it. Foundation models and intelligent agents are expanding who can create software and what software can do, while raising new questions about reliability, evaluation, human oversight, and responsible use.

AIware brings together researchers and practitioners from software engineering, artificial intelligence, and related communities to explore these changes. Our shared goal is to make AI-powered software more capable, dependable, and accessible to software makers with diverse backgrounds and levels of expertise.

AIware 2027 connects research advances with the evaluation resources, practical experience, and shared challenges needed to turn this vision into reality.

Explore the Program

Main Track: Advancing AI-powered software research

The Main Track is the research heart of AIware. It brings together new ideas, methods, and empirical evidence at the intersection of AI and software engineering. We welcome research that advances how AI-powered software is created, evaluated, and evolved, as well as work that examines how foundation models and intelligent agents are changing software development.

Benchmark & Dataset Track: Enabling rigorous evaluation

Progress depends on reliable ways to measure it. This track focuses on high-quality, reusable datasets, benchmarks, and evaluation methodologies that support the development and rigorous assessment of AI-powered software.

ArXiv Track: Bringing emerging ideas into the conversation

The ArXiv Track offers authors of recent preprints an opportunity to present their work, receive feedback, and engage with the AIware community.

Industry Track: Connecting research and practice

The Industry Track brings perspectives from those developing and deploying AI-powered software in practice. It connects researchers and practitioners to discuss real-world challenges, share experience, and identify opportunities for collaboration.

FSE–AIware Joint Competition Track: Tackling shared challenges

Jointly organized with FSE 2027, the Competition Track brings researchers and practitioners together around concrete challenges in AI-powered software. It provides a venue for the community to propose challenges and develop and evaluate solutions.

Join the AIware Community

Whether you develop new methods, build evaluation resources, share emerging research, or apply AI in practice, AIware offers a place to exchange ideas and help shape the future of software. Explore the track pages for their calls, participation details, and important dates.