ISE Goals
This workshop aims to present new ideas and theories to solve software engineering problems with intelligent approaches. Nowadays, many researchers have proposed and developed various AI-based methods to improve developers’ productivity and the quality of software products. The methods can be involved in all stages of software development and evolution, such as requirement analysis, design, implementation, testing, and maintenance. For example, researchers have applied deep learning techniques to the areas of automatic code generation, automatic classification of requirements, and various recommendation systems for software engineering. However, some researchers only focused on the application and improvement of AI technologies. The research results are far from the viewpoint of software engineering. Rather than applying new AI technologies to specific SE problems, this workshop focuses on the problems of software engineering, new ideas and theories to mitigate and solve the problems, and discussions on such problems and solutions.
This workshop brings together various researchers, tool developers, practitioners, and students to develop methodologies and tools for intelligent software engineering. The participants in the workshop will discuss various ideas and the expected effects of intelligent software engineering. In addition, the participants can present and discuss their experiences and difficulties in special domains, such as autonomous driving and medical artificial intelligence. By discussing ideas, problems, and expected effects, all of the participants can explore and set up the directions of intelligent software engineering with a large impact.
Topics of Interest
Topics of interest include, but are not limited to:
Intelligent systems for software engineering
Theories and research directions for intelligent software engineering
Artificial intelligence for requirement engineering
Artificial intelligence for design
Artificial intelligence for implementation
Artificial intelligence for code generation
Artificial intelligence for code example generation
Artificial intelligence for testing
Artificial intelligence for code changes
Artificial intelligence for artifact changes
Artificial intelligence for documentation changes
CI, DevOps and MLOps for intelligent software systems
AI-based systems such as autonomous driving
Important Dates
Abstract submission due: August 18, 2025
Paper submission due: August 25, 2025
Notification of acceptance: September 25, 2025
Camera-ready paper due: October 4, 2025
Workshop: TBD between November 16 and November 20, 2025
Contact Us
Seonah Lee: saleese at gnu.ac.kr
Rahul Yedida, LexisNexis, rahul at ryedida.me