CAIN 2024
Sun 14 - Mon 15 April 2024 Lisbon, Portugal
co-located with ICSE 2024

Welcome to CAIN 2024 — 3rd International Conference on AI Engineering – Software Engineering for AI

April 14-15, 2024

The goal of the CAIN Conference Series is to bring together researchers and practitioners in software engineering, data science, and artificial intelligence (AI) as part of a growing community that is targeting the challenges of Software Engineering for AI-enabled systems.

In development and implementation of AI-enabled systems — defined as systems that contain AI components — experience has shown that the main challenge is not to develop the best models or algorithms but rather to provide support for the entire system life cycle – from business idea, through data collection, model training, system design and development, product deployment and operation, and eventually its maintenance and evolution. Therefore there is a clear need to advance the field of Software Engineering for AI. While there are many well-established venues in the fields of AI and machine learning (ML), CAIN is unique in that it takes a systems and life cycle perspective on AI engineering.

CAIN has the following goals for the next few years.

  • Identify the main challenges in software engineering for AI systems, considering industrial needs and experience.
  • Create a roadmap that captures research directions in AI engineering in relation to AI-enabled systems life cycle and the software engineering practices to support it.
  • Contribute to a better understanding of the differences between data science and software engineering approaches such that practices from both fields can come together to solve practical problems in AI engineering.
  • Identify industrial challenges in building and using AI-enabled systems and contribute to solving them.
  • Build a thriving community of software engineering, data science, and AI practitioners and researchers

CAIN’24 will have all sessions in a single track:

  • Invited keynotes and panels.
  • Presentation of accepted research and experience papers.
  • Industry talks.
  • Poster presentations

Scope and Topics of Interest

The area of interest for CAIN is Software Engineering for AI — improving the development of AI-based systems throughout the full life cycle. Topics include but are not limited to:

  • System and software requirements and their relationship to AI/ML modeling.
  • Data management ensuring relevance and efficiency related to business goals.
  • System and software architecture for AI-enabled systems.
  • Integration of AI and software development processes into the AI system development life cycle, including continuous integration and deployment, and system and software evolution.
  • Ensuring and managing system and software nonfunctional properties and their relationship to AI/ML properties, including runtime properties such as performance, safety, security, and reliability; and life-cycle properties including reusability, maintainability and evolution.
  • Collaboration, organizational, and management practices for a successful development of AI-enabled systems.
  • Building effective infrastructures to support development of AI systems and components.

Note: Submissions that report strictly on data science or model development without any connection to software engineering and AI-enabled systems will be desk-rejected. As stated earlier, there are many venues for those papers where authors would get much more valuable and relevant feedback.

The CAIN’24 conference is co-located with the 46th International Conference on Software Engineering (ICSE’24). Please find more information about ICSE’24 here.

Stay tuned for more Information!