ISSSR 2026 Keynote 1
Evolution of the SWEBOK Guide and LLM-Empowered Software Security Engineering
Abstract
This keynote begins with an overview of the IEEE Computer Society's Guide to the Software Engineering Body of Knowledge (SWEBOK Guide) and its historical evolution. The SWEBOK Guide captures generally accepted, consensus-driven knowledge, shaped through the continuous interaction between software engineering research and practice. Its latest edition, SWEBOK Guide V4.0, reflects contemporary engineering paradigms and emerging areas, including Agile and DevOps, software architecture, security, and AI. Building on these developments, the talk then explores recent advances in software security engineering enabled by large language models (LLMs). It introduces LLM-driven approaches, including automated pipelines for extracting and structuring security knowledge from threat reports, as well as techniques for automated mitigation and assurance case generation. The keynote highlights how these approaches align with and extend the evolving body of knowledge represented in SWEBOK, pointing toward the future of AI-augmented software engineering.
Professor Hironori Washizaki
Professor and Associate Dean of Research Promotion Division
Waseda University, Japan
2025 President, IEEE Computer Society
Prof. Dr. Hironori Washizaki is a Professor and the Associate Dean of the Research Promotion Division at Waseda University in Tokyo and a Visiting Professor at the National Institute of Informatics. He also works as an Outside Director of eXmotion. He currently serves as the IEEE Computer Society 2025 President. He has led software engineering research and ICT professional and educational activities, including developing the IEEE-CS's Guide to the Software Engineering Body of Knowledge (SWEBOK Guide). He has led many academia-industry joint research and large-funded projects in software design, reuse, traceability, quality assurance, and machine learning engineering. Recent achievements include IoT design patterns and machine learning design patterns. He leads a professional IoT/AI/DX education project called SmartSE. http://www.washi.cs.waseda.ac.jp/