Synergies between AI and Software Engineering (SYNAISE)

The synergy between Artificial Intelligence (AI) and Software Engineering (SE) is increasingly pivotal in today’s technological landscape, with benefits flowing in both directions. On the one hand, AI, in particular Generative AI, enhances SE by introducing intelligent automation, predictive analytics that revolutionizes development processes. On the other hand, as AI models become more complex and data-intensive, SE provides the methodologies and tools necessary to manage this complexity and to build scalable, reliable, and maintainable AI systems.

The 3rd edition of this special session aims to bring together researchers and practitioners from SE and AI to exchange about benefits, limitations and challenges of integrating AI with SE. The discussions focus on two aspects:

(1) AI for SE : instilling intelligence in solutions for knowledge and software engineering;

(2) SE for AI  : applying software engineering practices for intelligence systems development

Relevant topics include but are not limited to:

  • Natural Language Processing (NLP) for Requirements
  • AI for Ontology Learning and Knowledge Graphs Constructing
  • Automated Code Generation and Smart Code Analysis
  • Automated Test Case Generation & Intelligent Test Oracles
  • AI-assisted for Software Modeling, Design and Transformation
  • Adaptive and Predictive Project Planning and Managing
  • Requirements for Data and Machine Learning Models
  • Testing and Validation of AI Systems
  • Development Process for AI system : Data, ML and SE pipelines
  • Explainability and Interpretability of AI systems
  • AI-augmented Data and Process Mining
  • Automatic Detection of Security Vulnerabilities and Compliance

Session Organizers

  • Dinh Thuc NGUYEN , University of Science, VNU-HCM, Viet Nam (ndthuc@fit.hcmus.edu.vn)
  • Hanh Nhi TRAN, St-Cyr Coetquidan Military Academy, University of Toulouse 3, France (hanh-nhi.tran@irit.fr)
  • Nhien-An LE-KHAC,  School of Computer Science, University College Dublin, Ireland (an.lekhac@ucd.ie)
  • Minh Son DAO, National Institute of Information and Communications Technology, Japan (dao@nict.go.jp)

Paper Submission

The papers of this session will be printed in proceeding of main conference which will be published by IEEE and be available at the conference. Papers must be submitted through the online submission system:

Authors are invited to submit papers of up to 6 pages, written in English, in PDF format and compliant with the IEEE standard. The submissions will be peer-reviewed for originality and scientific quality.