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Book synopsis

Arcadia is a system engineering method based on the use of models, with a focus on the collaborative definition, evaluation and exploitation of its architecture. This book describes the fundamentals of the method and its contribution to engineering issues such as requirements management, product line, system supervision, and integration, verification and validation (IVV). It provides a reference for the modeling language defined by Arcadia. The author discusses the range of applications, from the assessment of different architectures and their suitability, to the collaboration between system engineering, specialties such as safety or security, subsystems engineering teams, software and hardware. This is illustrated by several examples of representative models which constitute a common thread. Offers a comprehensive examination of systems engineering, including the use of models to support itNot only yet another book on modeling, but rather a journey in systems engineering, enlightening the use of models to support it.Focuses on solitary modeling tasks while also covering prime collaborations between engineering stakeholders Examines modeling techniques to capture and share architecture and to early verify it against need and non-functional constraintsAddresses subjects not usually covered by model-based system engineering (MBSE) methods, such as co-engineering with specialties, system/sub-system co-engineering, integration verification and validation Features a powerful, dedicated tool (Capella) Covers a range of topics, including an introduction to system engineering issues, an introduction to MBSE, a presentation of the method for beginners and a handy reference manual for advanced users

Book details

Book category Books in English Computing & information technology Computer science Computer architecture & logic design

• Full title: Model-based System and Architecture Engineering with the Arcadia Method
• Author: Jean-Luc Voirin, Jean-Luc Wippler, Stephane Bonnet
• Language: English
• Binding: Hardback
• Number of pages: 388
• EAN: 9781785481697
• ISBN: 178548169X
• ID: 16755765
• Publisher: ISTE Press Ltd - Elsevier Inc
• Weight: 710 g
• Dimensions: 159 × 236 × 25 mm
• Date of publishing: 22. November 2017

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