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This book addresses mechanisms for reducing model heterogeneity induced by the absence of explicit semantics expression in the formal techniques used to specify design models. More precisely, it highlights the advances in handling both implicit and explicit semantics in formal system developments, and discusses different contributions expressing different views and perceptions on the implicit and explicit semantics. 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.
This book investigates methods for mitigating model heterogeneity in formal system development by integrating implicit and explicit semantics. It addresses advances in handling both types of semantics in formal system developments, drawing on discussions from a 2016 Shonan meeting. The contributions explore diverse perspectives on implicit and explicit semantics, offering solutions to bridge the gap caused by the absence of explicit semantics expression in formal techniques. The book is structured into five parts: domain modelling, knowledge-based modelling, proof-based modelling, assurance cases, and refinement-based modelling.
The book is presented as a collection of contributions from a specific meeting, suggesting a focus on current research and diverse viewpoints within the field. The structure into five distinct parts indicates a comprehensive approach to the topic of semantics in formal system development. The intended audience appears to be researchers and practitioners in formal methods, system and software engineering, and related areas, implying a technical and specialized readership. The collection aims to offer inspiration and solutions for challenges in modeling and requirement analysis.
Page Count:
346
Publication Date:
2021-07-29
Publisher:
Springer Nature Singapore
ISBN-10:
9811550565
ISBN-13:
9789811550560
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