The goal of this special session is to leverage the strengths of deep learning, and LLMs in particular, to address the unique challenges in software engineering, improving research outcomes, teaching methodologies, and industrial practices.
Topics of interest include but are not limited to:
Evolving and lifelong-learning models for software analysis, evolution, and maintenance.
Adaptive AI for vulnerability detection, threat prediction, safety assessment, and continuous security monitoring.
Online and concept-drift-aware techniques for code intelligence and software repositories.
LLM-based support for incremental development, secure-by-design practices, and adaptive documentation.
Intelligent and multi-agent systems for iterative planning, coordination, and continuous feedback.
Context-aware and situationally adaptive AI for software development and operation.
Semantic, knowledge-based, and explainable models for adaptive SE tasks.
Real-time anomaly detection, risk assessment, and resilient software architectures.
Case studies and tools illustrating adaptive, safety-oriented, and security-oriented AI in real software processes.