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    https://sophisticatedspectra.com/article/drosia-serenity-a-modern-oasis-in-the-heart-of-larnaca.2521391.html

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    Foundations for Model-based Systems Engineering : From Patterns to Models

    Posted By: readerXXI
    Foundations for Model-based Systems Engineering : From Patterns to Models

    Foundations for Model-based Systems Engineering : From Patterns to Models
    by Jon Holt and Simon Perry
    English | 2016 | ISBN: 1785610503 | 417 Pages | True PDF | 17.4 MB

    The practice of Model-Based Systems Engineering (MBSE) is becoming more widely adopted in industry, academia and commerce and 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 in-depth overview of SysML, this book focusses 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; defining 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 modellers in industry.