Séminaire LATECE: «SWEBOK Guide Evolution and Its Emerging Areas including Machine Learning Patterns and System Modeling» par Hironori Washizaki
Heure et date : 13 décembre à 9h00
Lieu : local PK-4610 et en ligne sur Zoom
Conférencier : Hironori Washizaki (Waseda University, Tokyo)
Titre : SWEBOK Guide Evolution and Its Emerging Areas including Machine Learning Patterns and System Modeling
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Abstract : The Guide to the Software Engineering Body of Knowledge (SWEBOK) spells out components of the software engineering discipline, promoting a consistent view of SE worldwide. Hironori has led its evolution project to release its newest version 4, which mainly reflects recent developments in SE practice (such as Agile and DevOps) and the growth of BOK, resulting in new knowledge areas (including software architecture, security, and operations) as well as connections to related areas such as AI. This talk first provides an overview of the SWEBOK guide and its latest updates, including new knowledge areas and emerging topic areas, including AI SE. Furthermore, as a part of AI SE, the talk presents the machine learning (ML) software engineering patterns and a multi-view modeling framework for ML systems with the ML pipeline integration to address the probabilistic nature of machine learning (ML) and its experimentative development approach. The framework provides an integrated platform between the modeling environment with ML patterns and the ML training, performance monitoring, and repair pipelines.
Biographie : 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 Outside Directors of SYSTEM INFORMATION and eXmotion. He currently serves as IEEE Computer Society 1st Vice President and has been elected 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/
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