The book is based on the discussions at the Shonan meeting on this topic held in 2016, and includes contributions from the participants summarising their perspectives on the problem and offering solutions. Divided into 5 parts: domain modelling, knowledge-based modelling, proof-based modelling, assurance cases, and refinement-based modelling, and offers inspiration for researchers and practitioners in the fields of formal methods, system and software engineering, domain knowledge modelling, requirement analysis, and explicit and implicit semantics of modelling languages.
Shin Nakajima is a professor at the National Institute of Informatics, Tokyo; an adjunct professor at the Graduate University for Advanced Studies; and a visiting professor at the Open University of Japan. His research topics concern formal methods, automated verification, assuring the quality of deep neural networks software, cyber-physical systems, and software-enabled innovation management. He has authored six books on those subjects.
Dominique Méry has been a full professor of computing science at the University of Lorraine since 1993 and is teaching in the School of Engineering in Information Technology TELECOM Nancy. He is leading the research group MOSEL on formal methods and applications in LORIA, jointly with CNRS, INRIA, and the University of Lorraine. He has been a junior member of the Institut Universitaire de France IUF (1995–2000) and is a member of the IFIP WG 1.3 on foundations of specifications. His current scientific activities a focus on proof-based development of distributed algorithms using the refinement, as well as modelling, of cyber physical systems as medical devices. His research uses mainly the modelling language B/Event-B and related platforms. He has led the IMPEX ANR project dealing with the integration of the explicit semantics in the proof-based development of software systems. Finally, his research explores the extension of the scope of discrete modelling techniques to handle the design and modelling of hybrid systems.