AI and Big Data in Software Engineering
Workshop: AI and Big Data in Software Engineering
Artificial Intelligence and Big Data are no longer peripheral tools in Software Engineering, they are reshaping its foundations. From the earliest design decisions to long-term maintenance, these technologies streamline workflows, uncover hidden patterns, and enable systems that adapt in real-time. This special section will explore how intelligent automation and large‑scale analytics can enhance quality, efficiency, and resilience across the entire software lifecycle.
Our goal is to establish a platform where researchers, practitioners, and industry innovators can exchange insights, challenge prevailing assumptions, and foster collaborations. By drawing attention to both the technical breakthroughs and their societal implications, we hope to inspire solutions that are not only smarter but also fairer, more transparent, and deeply attuned to the needs of diverse communities.
Topics
Potential topics include, but are not limited to, the following:
- AI-Driven Code Intelligence & Automation
- LLM-driven code generation, optimization, and automated refactoring
- Machine learning models for bug prediction and risk assessment
- Recommendation systems for smart IDEs and developer workflows
- AI-based automated software testing, verification, and debugging
- Big Data & Repository Mining
- Large-scale mining of software repositories and commit histories
- Performance analytics and decision-making from system telemetry and logs
- Big Data platforms and architectures for software lifecycle analytics
- Knowledge Representation & Traceability
- Graph Neural Networks (GNNs) for code dependency analysis and vulnerability detection
- Knowledge Graphs for requirements traceability and documentation analysis
- Natural Language Processing (NLP) for requirements engineering and analysis
- Human Factors & Explainability
- Explainable AI (XAI) for trustworthy software testing and verification
- Intelligent decision support systems for software project management
- Applications for Social Good
- Sector-specific tools and frameworks (e.g., for healthcare, climate-aware computing, accessibility, digital twins
Important dates
- Paper Submission Deadline: September 1st, 2025
- Notification of Acceptance: October 15th, 2025
- Camera-ready Submission: October 30th, 2025
- Conference Dates: December 18–20, 2025
Submission guidelines
All papers must adhere to the main conference submission guidelines. Submissions should be marked for consideration in the “Special Section on AI and Big Data in Software Engineering.” Each paper will be peer-reviewed by experts in the field.
Contact
Chairs:
- Truong Minh Thai – Faculty of Software Technology, College of Information and
Communication Technology, Can Tho University – [email protected] - Pham Ngoc Hung – University of Engineering and Technology (VNU), Vietnam – [email protected]
