This track focuses on the integration of artificial intelligence techniques in automating various software engineering processes. Researchers are invited to present innovative approaches that leverage AI for enhancing software development efficiency and quality.

This session explores advancements in automated code generation methodologies, emphasizing tools and frameworks that facilitate rapid software development. Contributions should highlight the impact of these techniques on productivity and code quality.

This track invites discussions on the development and application of automated testing frameworks that improve software reliability. Papers should address challenges and solutions in creating effective testing environments.

This session aims to uncover novel automated debugging techniques that enhance the software maintenance process. Submissions should focus on tools and methodologies that assist developers in identifying and resolving issues efficiently.

This track examines the role of continuous automation in modern software development practices, particularly within DevOps pipelines. Contributions should discuss the benefits and challenges of implementing continuous automation strategies.

This session highlights the use of model-driven engineering principles to facilitate automation in software design and development. Researchers are encouraged to present case studies and frameworks that demonstrate the effectiveness of model-driven automation.