INSTRUCTIONS FOR AUTHORS
Accepted papers will be published by Springer as book chapters in its “LEARNING AND ANALYTICS IN INTELLIGENT SYSTEMS” series and will be available at the Conference.
Selected papers from the conference will be considered for publication in a special issue of the Intelligent Decision Technologies Journal (IOS Press).
Papers should be formatted in the LNCS style of Springer and limited to 12 pages.
SCOPE OF AIESE 2024 – TOPICS OF INTEREST INCLUDE, BUT ARE NOT LIMITED TO:
- Architectures for AI-empowered shells
- Architecture of AI-empowered systems, including intelligent agents and softbots
- Development processes for AI-empowered applications
- Internet-based interactive applications
- Software tools assisting the development
- Knowledge acquisition
- Empirical /evaluation studies for AI-empowered applications
- Intelligent user interfaces and human-machine interaction
- Development of user models
- Development of multi-modal interfaces
- Software life cycle of intelligent interactive systems
- Knowledge technologies for semantic web
- Ontologies and patterns in UML modeling
- Knowledge technologies for web services
- Knowledge-based requirements engineering, domain analysis and modeling
- Knowledge engineering for process management and project management
- Methodology and tools for knowledge discovery and data mining
- Automating software design and synthesis
- AI-empowered methods and tools for testing, verification and validation, maintenance and evolution
- Decision support methods for software engineering
- Knowledge management for business processes, workflows and enterprise modeling
- Program understanding, programming knowledge, modeling programs and programmers
- AI-empowered methods and tools for software engineering education
- Software engineering methods for Intelligent Tutoring Systems
AI-empowered methods for software metrics