Flex Conference (Physical / Digital)

International Conference on Artificial Intelligence Applications in Software Engineering - (ICAIASE-27)

29th - 30th May 2027 , Mexico City - Mexico

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Call For Papers

The (ICAIASE-27) emphasizes interdisciplinary collaboration by bringing together experts from diverse fields. It encourages research that integrates multiple perspectives to address complex global challenges.

Key areas such as Software Engineering are explored to promote cross-domain knowledge exchange and collaborative innovation.

Authors are invited to submit papers addressing, but not limited to, the following areas:

  • AI-driven software development methodologies
  • Machine learning in software testing
  • Natural language processing applications in software
  • AI for code generation and optimization
  • Ethical considerations in AI software applications
  • AI-enhanced debugging techniques
  • Impact of AI on software project management
  • AI in requirement gathering and analysis
  • Predictive analytics for software engineering
  • AI applications in software maintenance
  • Case studies of AI in software projects
  • AI for enhancing user experience in software
  • Challenges in integrating AI into software
  • Future trends in AI and software engineering
  • AI tools for software developers
  • Collaboration between AI and software engineers
  • AI for performance testing and optimization
  • AI in mobile application development
  • Impact of AI on software architecture
  • AI solutions for cybersecurity in software

Assessment

All submissions will undergo peer review to ensure quality and interdisciplinary relevance. Accepted papers will be presented and considered for publication in journals and conference proceedings.

Registration

Registering for the conference provides access to keynote sessions, technical presentations, and networking opportunities with global experts.

Publication

Publishing through the conference enhances the visibility of your research and connects your work with a broader academic audience.