Foundations for Model-based Systems Engineering
Author | : Jon Holt |
Publisher | : IET |
Total Pages | : 417 |
Release | : 2016-05-31 |
ISBN-10 | : 9781785610509 |
ISBN-13 | : 1785610503 |
Rating | : 4/5 (09 Downloads) |
Download or read book Foundations for Model-based Systems Engineering written by Jon Holt and published by IET. This book was released on 2016-05-31 with total page 417 pages. Available in PDF, EPUB and Kindle. Book excerpt: The practice of Model-Based Systems Engineering (MBSE) is becoming more widely adopted in industry, academia and commerce; as the use of modelling matures in the real world, so the need increases for more guidance on how to model effectively and efficiently. This practical book describes a number of systems-level "patterns" that may be applied using the systems modelling language SysML for the development of any number of different applications and as the foundations for a system model. This is a companion volume to both SysML for Systems Engineering: A Model-Based Approach and Model-based Requirements Engineering, both published by the IET. Whereas the previous volumes presented the case for modelling and provided an indepth overview of SysML, this book focuses on a set of "patterns" as the basis of an MBSE model and their use in today's systems engineering community. Topics covered include an introduction to MBSE concepts, ontology and frameworks; what is a pattern?; interface definition pattern; traceability pattern; test case pattern; epoch/measurement pattern; life cycle pattern; evidence pattern; description pattern; context pattern; analysis risk pattern; requirements engineering - ACRE; system of systems requirements - SoS-ACRE; process modelling - '7 views'; competency modelling; life cycle management; project information modelling; model maturity levels; technology readiness levels; defi ning the patterns; using patterns for model assessment, model definition, and model retro-fitting. Foundations for Model-Based Systems Engineering is essential reading for researchers and students of systems modelling in academia, as well as systems engineers, requirements engineers, software engineers, systems managers, requirements managers, and systems modelers in industry.