Open AccessBook
The Method Framework for Engineering System Architectures
Donald Firesmith,Peter Capell,Charles Hammons,DeWitt Latimer,Tom Merendino +4 more
- 20 Nov 2008
TL;DR: Organized as a handy desk reference, this book harnesses more than 100 years of the authors combined professional experience to provide extensive guidelines, best practices, and tips on avoiding possible pitfalls.
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Abstract: The architects of todays large and complex systems all too often struggle with the lack of a consistent set of principles and practices that adequately address the entire breadth of systems architecture. The Method Framework for Engineering System Architectures (MFESA) enables system architects and process engineers to create methods for effectively and efficiently engineering high-quality architecture for systems, subsystems, and software components. Meets the Needs of Specific Projects The book begins by documenting the common challenges that must be addressed by system architecture engineering. It explores the major principles answering these challenges and forming the basis of MFESA. Next, the authors introduce MFESA, including its primary goals, inputs, tasks, outputs, and assumptions. Then they describe the fundamental concepts and terminology on which the systems architecture engineering is founded. This is followed by a description of each of the ten system architecture engineering tasks including associated goals and objectives, preconditions, inputs, steps, postconditions, work products, guidelines, and pitfalls.Finally, the book documents the relationship between quality and architecture, explains the quality model underlying MFESA, and provides a summary of MFESA method framework, as well as a list of points to remember and future directions planned for MFESA.Explains Specific RationalesOrganized as a handy desk reference, this book harnesses more than 100 years of the authors combined professional experience to provide extensive guidelines, best practices, and tips on avoiding possible pitfalls. It presents a direct rationale of why steps are taken, how things can go wrong, and guidance for how and when to tailor the model for a systems specific context.
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Citations
Towards Service-Oriented Enterprise Architectures for Big Data Applications in the Cloud
Alfred Zimmermann,Michael Pretz,Gertrud Zimmermann,Donald Firesmith,Ilia Petrov,Eman El-Sheikh +5 more
- 09 Sep 2013
TL;DR: This paper proposes a new integration model for service-oriented Enterprise Architectures on basis of ESARC - Enterprise Services Architecture Reference Cube, with MFESA - Method Framework for Engineering System Architectures for the design ofservice-oriented enterprise architectures, and the systematic development, diagnostics and optimization of architecture artifacts of service- oriented cloud-based enterprise systems for Big Data applications.
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Profiling Systems Using the Defining Characteristics of Systems of Systems (SoS)
Donald Firesmith
- 01 Feb 2010
TL;DR: This technical note identifies and describes the characteristics that have been used in various definitions of the term system of systems and how similar meters can be used to describe where systems lie along the scales associated with these two additional sets of system characteristics.
Towards an integrated service-oriented reference enterprise architecture
Alfred Zimmermann,Kurt Sandkuhl,Michael Pretz,Michael Falkenthal,Dierk Jugel,Matthias Wissotzki +5 more
- 19 Aug 2013
TL;DR: The paper describes a new Metamodel-based integration approach for Service-oriented Reference Enterprise Architectures, which identifies affected decisions by runtime changes of a service-oriented runtime environment and architecture.
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Adaptable Enterprise Architectures for Software Evolution of SmartLife Ecosystems
Alfred Zimmermann,Bilal Gonen,Rainer Schmidt,Eman El-Sheikh,Sikha Bagui,Norman Wilde +5 more
- 01 Sep 2014
TL;DR: This research explores the use of knowledge modeling using ontologies and flexible metamodels for adaptable enterprise architectures for the development of service-oriented ecosystems with integrated technologies like Semantic Technologies, Web Services, Cloud Computing and Big Data Management.
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Assurance-driven design in Problem Oriented Engineering
Jon G. Hall,Lucia Rapanotti +1 more
- 01 Oct 2009
TL;DR: Assurance-driven design allows an organisation to assess their assurance needs according to their developmental needs, including their attitude to risk, and to adapt their processes accordingly, and is not, however, a prescriptive method.
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