Interpreting 'Systems Architectings
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The Art of Systems Architecting Second Edition
THE ART OF SYSTEMS ARCHITECTING SECOND EDITION ¤2000 CRC Press LLC THE ART OF SYSTEMS ARCHITECTING SECOND EDITION Mark W. Maier Aerospace Corporation Chantilly, Virginia Eberhardt Rechtin University of Southern California Los Angeles, California CRC Press Boca Raton London New York Washington, D.C. ¤2000 CRC Press LLC Library of Congress Cataloging-in-Publication Data The art of systems architecting / edited by Mark W. Maier, Eberhardt Rechtin.—2nd ed. p. cm. Pre. ed. entered under Rechtin Includes bibliographical references and index. ISBN 0-8493-0440-7 (alk. paper) 1. Systems Engineering. This book is no longer in a series. I Maier, Mark. Rechtin, Eberhardt. III. Rechtin, Eberhardt. Art of systems architecting. TA168 .R368 2000 620′.001′171—dc21 00-03948 CIP This book contains information obtained from authentic and highly regarded sources. Reprinted material is quoted with permission, and sources are indicated. A wide variety of references are listed. Reasonable efforts have been made to publish reliable data and information, but the author and the publisher cannot assume responsibility for the validity of all materials or for the consequences of their use. Neither this book nor any part may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopying, microfilming, and recording, or by any information storage or retrieval system, without prior permission in writing from the publisher. The consent of CRC Press LLC does not extend to copying for general distribution, for promotion, for creating new works, or for resale. Specific permission must be obtained in writing from CRC Press LLC for such copying. -
Sysml Distilled: a Brief Guide to the Systems Modeling Language
ptg11539604 Praise for SysML Distilled “In keeping with the outstanding tradition of Addison-Wesley’s techni- cal publications, Lenny Delligatti’s SysML Distilled does not disappoint. Lenny has done a masterful job of capturing the spirit of OMG SysML as a practical, standards-based modeling language to help systems engi- neers address growing system complexity. This book is loaded with matter-of-fact insights, starting with basic MBSE concepts to distin- guishing the subtle differences between use cases and scenarios to illu- mination on namespaces and SysML packages, and even speaks to some of the more esoteric SysML semantics such as token flows.” — Jeff Estefan, Principal Engineer, NASA’s Jet Propulsion Laboratory “The power of a modeling language, such as SysML, is that it facilitates communication not only within systems engineering but across disci- plines and across the development life cycle. Many languages have the ptg11539604 potential to increase communication, but without an effective guide, they can fall short of that objective. In SysML Distilled, Lenny Delligatti combines just the right amount of technology with a common-sense approach to utilizing SysML toward achieving that communication. Having worked in systems and software engineering across many do- mains for the last 30 years, and having taught computer languages, UML, and SysML to many organizations and within the college setting, I find Lenny’s book an invaluable resource. He presents the concepts clearly and provides useful and pragmatic examples to get you off the ground quickly and enables you to be an effective modeler.” — Thomas W. Fargnoli, Lead Member of the Engineering Staff, Lockheed Martin “This book provides an excellent introduction to SysML. -
On Using Sysml, Dodaf 2.0 and UPDM to Model the Architecture for the NOAA's Joint Polar Satellite System (JPSS) Ground System (GS)
https://ntrs.nasa.gov/search.jsp?R=20120009882 2019-08-30T20:31:32+00:00Z On Using SysML, DoDAF 2.0 and UPDM to Model the Architecture for the NOAA's Joint Polar Satellite System (JPSS) Ground System (GS) Jeffrey L. Hayden' and Alan Jeffiies' Jeffries Technology Solutions, Inc. (JeTSI), Herndon, VA, 20170, USA The JPSS Ground System is a lIexible system of systems responsible for telemetry, tracking & command (TT &C), data acquisition, routing and data processing services for a varied lIeet of satellites to support weather prediction, modeling and climate modeling. To assist in this engineering effort, architecture modeling tools are being employed to translate the former NPOESS baseline to the new JPSS baseline, The paper will focus on the methodology for the system engineering process and the use of these architecture modeling tools within that process, The Department of Defense Architecture Framework version 2,0 (DoDAF 2.0) viewpoints and views that are being used to describe the JPSS GS architecture are discussed. The Unified Profile for DoOAF and MODAF (UPDM) and Systems Modeling Language (SysML), as ' provided by extensions to the MagicDraw UML modeling tool, are used to develop the diagrams and tables that make up the architecture model. The model development process and structure are discussed, examples are shown, and details of handling the complexities of a large System of Systems (SoS), such as the JPSS GS, with an equally complex modeling tool, are described. I. Introduction N February 2010, the US Government restructured the National Polar-orbiting Operational Enviromnental Satellite S),stem (NPOESS) into the National Oceanic and Atmospheric Administration (NOAA)lNational Aeronautics and Space Agency (NASA) Joint Polar Satellite System (JPSS) and the Department of Defense's Defense Weather I Satellite System (DWSS). -
Sodiuswillert Product Brochure
UNLOCKING ASSETS TO EMPOWER INNOVATION THROUGH ENGINEERING DATA INTEGRATION PRODUCT SHEET Move Models from Rhapsody® to MagicDraw™ Whether your goal is to migrate to MagicDraw or deliver in the MagicDraw format, the Publisher for Rhapsody makes model recreation easy and repeatable. AUTOMATE MODEL TRANSFORMATION FROM RHAPSODY TO MAGICDRAW Creating MagicDraw models may be a necessary step in today’s multi-tool Use Cases: environment. We understand the retention of model elements, structure, and diagram layouts are critical and required in any workflow. The Publisher • Publish: maintain your for Rhapsody enables your team to explore the business’s needs of tool knowledge base in Rhapsody flexibility with confidence. but deliver to a customer to integrate in MagicDraw. Explore And Deliver Mandated File Formats • Migrate: move your data out of Publish your Rhapsody models to MagicDraw to deliver mandated file Rhapsody and further develop formats for a customer. Explore your Rhapsody models in MagicDraw for in MagicDraw. projects that mandate the use of MagicDraw for development. Keep your team, training, and licenses with your Rhapsody investment and still deliver to the program’s requirements. $ SAVE ENGINEERING TIME MAINTAIN DATA INTEGRITY IMPROVE YOUR ROI Save months or years of critical Manually migrating data from one Building complex Rhapsody models engineering resources converting SysML tool to another can be prone and correctly converting them into and validating re-written models. to error. The Publisher for Rhapsody MagicDraw can take engineering With the Publisher for Rhapsody, accurately migrates model elements, teams months or even years to users of Rhapsody can automate the diagram and, layouts created in your complete. -
Systems Architecting: Practices for Agile Development in the Systems Engineering Context
14th NDIA Systems Engineering Conference 24-27 October 2011 Tutorial 13122 Systems Architecting: Practices for Agile Development in the Systems Engineering Context Tommer R. Ender, PhD Tom McDermott Nicholas Bollweg Senior Research Engineer Dir. of Research and Dep. Dir., GTRI Research Engineer I [email protected] [email protected] [email protected] (404) 407-8639 (404) 407-8240 (404) 407-7207 Goals and Learning Objectives Introduce the student to methods and practices for systems architecting Apply agile principles and incremental development to architecting Learn novel methods for combining narrative, visual, and specification techniques for rapid and incremental architecture development Learn practical approaches to facilitate the process introduced in this tutorial Copyright © Georgia Tech. All Rights Reserved. 2011 NDIA SE Conference: Tutorial 13122 – Systems Architecting 2 Summary of Topics Fundamental systems architecting Incremental development of ill defined or evolving systems through agile development Evaluating architecture quality through scenario based methods is reviewed in the context of satisfying business drivers Practical management methods are introduced focusing on the leadership role of the systems architect on a development team Copyright © Georgia Tech. All Rights Reserved. 2011 NDIA SE Conference: Tutorial 13122 – Systems Architecting 3 Narrative Context Capability Operators • LifeCycle Enterprise Is It Effective? • Constraints • Business Cases • Maintenance Heuristics • Operational Views Engineering Design Rules Stakeholders/Users Design Rule Sets • Interface specification Requirements • Reference Modeling Does it Language • Environment • Flow Diagrams Provide • Constraints • etc… Value? • Needs through Use Cases System Views Scenarios Utility Defined Use Quality Attributes Developers CONOPS Development Cases Rules • Abstraction Is It Useful? Architectural • Constraints • Patterns Significant • Heuristics Use Cases Copyright © Georgia Tech. -
The Tool Box of the System Architect
The Tool Box of the System Architect - 9 10 enterprise context 6 10 enterprise f 3 o s 10 stakeholders r l i e tools to manage a human b 0 t e m 10 large amounts d overview u n 103 systems of information 6 multi-disciplinary e.g. 10 design Doors 9 parts, connections, Core 10 lines of code Gerrit Muller University of South-Eastern Norway-NISE Hasbergsvei 36 P.O. Box 235, NO-3603 Kongsberg Norway [email protected] This paper has been integrated in the book “Systems Architecting: A Business Perspective", http://www.gaudisite.nl/SABP.html, published by CRC Press in 2011. Abstract The toolbox of a systems architect is filled with a quite diverse collection of tools. We will discuss the “intellectual” tools, practical low-tech tools, a number of classes of computer assistance tools, and architecting related standards. Distribution This article or presentation is written as part of the Gaudí project. The Gaudí project philosophy is to improve by obtaining frequent feedback. Frequent feedback is pursued by an open creation process. This document is published as intermediate or nearly mature version to get feedback. Further distribution is allowed as long as the document remains complete and unchanged. All Gaudí documents are available at: http://www.gaudisite.nl/ version: 0.1 status: draft September 6, 2020 1 Introduction The subject of tools for systems architecting creates numerous debates. We will use a broad interpretation of the word tool, including intellectual tools, low-tech tools (such as pen and paper), but we will also discuss computer assisted tools. -
Principles of Agile Architecture
Principles of Agile Architecture Intentional Architecture in Enterprise-Class Systems By Dean Leffingwell with Ryan Martens and Mauricio Zamora Agile Crosses the Chasm to the Enterprise The benefits of Agile methods are becoming more obvious and compelling. While the most popular practices were developed and proven in small team environments, the interest and need for using Agile in the enterprise is growing rapidly. That’s largely because Agile provides quantifiable, “step-change” improvements in the “big three” software development measures – quality, productivity and morale. Confirming Agile’s benefits, hundreds of large enterprises, many with more than 1,000 software developers, are adopting the methodology. Clearly, Agile has reached the early mainstream adopters in the software enterprise. As an industry, we must now prepare for the next challenge that these methods present. In our experience, the ability to successfully scale Agile beyond single teams depends on a number of factors. In this paper we’ll discuss one of the factors, the role of “Intentional Architecture” in the development of enterprise-class systems built using agile methods and techniques. In order to gain a better understanding of this important practice, we’ll describe: • The context and challenges of large-scale system architecture in Agile development • The need for Intentional Architecture to buttress emerging architecture • How the traditional systems architect can contribute to Agile teams There are a number of governing principles teams can apply to the challenge of architecture development in large-scale systems. These governing principles will be covered in the section entitled Principles of Agile Architecture. Challenges of Emergent Architecture at Enterprise Scale Regarding software architecture, it’s interesting to note that it is the “lighter-weight” Agile methods, specifically Scrum and XP, that are seeing the broadest adoption in the enterprise. -
The Systems Test Architect: Enabling the Leap from Testable to Tested
View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by Calhoun, Institutional Archive of the Naval Postgraduate School Calhoun: The NPS Institutional Archive Theses and Dissertations Thesis and Dissertation Collection 2016-09 The systems test architect: enabling the leap from testable to tested Rinaldi, Javier A. Monterey, California: Naval Postgraduate School http://hdl.handle.net/10945/50476 NAVAL POSTGRADUATE SCHOOL MONTEREY, CALIFORNIA THESIS THE SYSTEMS TEST ARCHITECT: ENABLING THE LEAP FROM TESTABLE TO TESTED by Javier A. Rinaldi September 2016 Thesis Advisor: Oleg Yakimenko Second Reader: Kristin Giammarco Approved for public release. Distribution is unlimited. THIS PAGE INTENTIONALLY LEFT BLANK REPORT DOCUMENTATION PAGE Form Approved OMB No. 0704-0188 Public reporting burden for this collection of information is estimated to average 1 hour per response, including the time for reviewing instruction, searching existing data sources, gathering and maintaining the data needed, and completing and reviewing the collection of information. Send comments regarding this burden estimate or any other aspect of this collection of information, including suggestions for reducing this burden, to Washington headquarters Services, Directorate for Information Operations and Reports, 1215 Jefferson Davis Highway, Suite 1204, Arlington, VA 22202-4302, and to the Office of Management and Budget, Paperwork Reduction Project (0704-0188) Washington, DC 20503. 1. AGENCY USE ONLY 2. REPORT DATE 3. REPORT TYPE AND DATES COVERED (Leave blank) September 2016 Master’s thesis 4. TITLE AND SUBTITLE 5. FUNDING NUMBERS THE SYSTEMS TEST ARCHITECT: ENABLING THE LEAP FROM TESTABLE TO TESTED 6. AUTHOR(S) Javier A. Rinaldi 7. PERFORMING ORGANIZATION NAME(S) AND ADDRESS(ES) 8. -
Framework for Managing System-Of-Systems Ilities
6th print – 31032014 FRAMEWORK FOR MANAGING SYSTEM-OF-SYSTEMS ILITIES KANG Shian Chin, PEE Eng Yau, SIM Kok Wah, PANG Chung Khiang ABSTRACT The design of ilities in System-of-Systems (SoS) architecture is a key means to manage changes and uncertainties over the long life cycle of an SoS. While there is broad consensus on the importance of ilities, there is generally a lack of agreement on what they mean and a lack of clarity on how they can be engineered. This article presents the DSTA Framework for Managing SoS Ilities, which coherently relates key ilities identified as important for SoS architectural design. Newly established in January 2013 to guide Systems Architecting practitioners in DSTA, the framework also proposes a set of working definitions of key SoS ilities and introduces notions of how they could be measured. Keywords: System-of-Systems ilities, robustness, evolvability, flexibility, survivability INTRODUCTION work together to perform unique function(s) or capabilities which cannot be carried out by any individual constituent A System-of-Systems (SoS) can be described as a set system. Figure 1 shows an example of an SoS in which a range of constituent systems or elements that are operationally of systems like coastal and airborne sensors, vessels and independent, but working together to provide capabilities that information systems from various stakeholders are networked are greater than the sum of its parts. Managed independently to achieve a Maritime Security (MARSEC) capability. and distributed geographically, these constituent systems Figure 1. Example of a MARSEC SoS 56 DSTA HORIZONS | 2013/14 Terms like robustness, resilience, flexibility, adaptability, of clarity of how they can be engineered, with the exception of survivability, interoperability, sustainability, reliability, availability, established areas like quality, safety and RAMS (i.e. -
Top-Down Software Decomposition – an Approach for Component-Based Design Automation
Top-down Software Decomposition – An Approach for Component-based Design Automation Whitepaper Ionut Cardei Department of Computer Science and Engineering Florida Atlantic University Boca Raton, FL 33431 07/21/2006 Abstract In this whitepaper we summarize the objectives and the technical approach of the Top- down Software Decomposition project and we describe a methodology for improving the quality and reducing the costs of the design process. In our approach product requirements and component semantics are conceptualized in ontologies, providing semantic descrip- tions that are machine readable and can be processed for consistency checking and model synthesis through a process that involves machine reasoning. This paper also provides a brief summary the main technologies involved in this project. The Model Driven Architecture provides the backdrop for a formal software development process and for visual modeling tools. We describe the UML and SysML modeling tools that are commonly used in the industry for requirements analysis and for software design. The main technologies from the semantic web research domain are covered, such as RDF, RDFS, OWL and reasoning engines. 1 Introduction This project has focus on improving the architecture design quality, increasing productivity and reducing the cost of the development process. In this whitepaper we present our approach for automating component-based design through top-down decomposition and we introduce several supporting technologies and tools. We begin by describing the problem we address and the motivation behind our project. As part of the system development cycle, a development iteration begins with requirements spec- ification, where marketing specialists and product managers describe functional requirements, technical specifications, features and use cases in natural language, in a semi-formal format, such as MRDs, UML or SysML, or using requirements management tools such as DOORS 1 [23] or RequisitePro [21]. -
Tool Analysis Report
SYMBIOSIS CENTRE FOR INFORMATION TECHNOLOGY Tool Analysis Report. By: Ranjan Revandkar. SCIT-Systems. Aug, 2006. Name of the Tool: Adaptive Business Process Manager Description: Adaptive Business Process Manager is based on its Adaptive Repository technology. Part of this solution is the integration between the Adaptive environment and Microsoft Visio to enable easy entry modeling in the front end with the full consistency management and knowledge connection capabilities of a robust Repository environment at the back end. Models are drawn in Microsoft Visio and with one mouse click saved to the Adaptive Repository. Diagrams can be re-generated to Visio for further modeling. Automatic generation of the resulting graphs is a unique and powerful extension to the modeling of business processes. Reduced training effort, collaborative modeling environment, sharing knowledge with authorized users across the organization and automated diagram generation are some of the key words of the Adaptive BPM environment. It can easily model business processes and at the same time build a repository of business processes to allow better documentation, understanding and analysis. This provides a very powerful capability for impact analysis and resource optimization. Adaptive technologies help complex IT organizations to run their IT business as a business by supporting the processes of IT. Adaptive can be used to enable improved planning and day-to-day management of IT operations and projects that will lead to reduced costs, improved quality, improved flexibility and the ability to adapt to change. Price: Provider: Adaptive References: http://www.adaptive.com/products/bpm.html http://www.adaptive.com/Resources/collateral/adaptive_bpm.pdf SCIT 1 Name of the Tool: Adaptive Enterprise Architecture Description: Adaptive provides expertise, methods and tools to help complex organizations align their capabilities with their strategic intent. -
Quality Assessment of System Architectures and Their Requirements (QUASAR)
QUality Assessment of System Architectures and their Requirements (QUASAR) Software Engineering Institute Carnegie Mellon University Pittsburgh, PA 15213 Donald Firesmith 28 March 2007 © 2007 Carnegie Mellon University Topics What is QUASAR? Why Use QUASAR? QUASAR Philosophy QUASAR Method QUASAR Benefits QUASAR – Today and Tomorrow QUASAR Tutorial Donald Firesmith, 28 March 2007 2 © 2007 Carnegie Mellon University What is QUASAR? QUASAR Tutorial Donald Firesmith, 28 March 2007 3 © 2007 Carnegie Mellon University What is QUASAR? QUality Assessment of System Architectures and their Requirements a Well-Documented and Proven Method based on the use of Quality Cases for Independently Assessing the Quality of: • Software-intensive System / Subsystem Architectures and the • Architecturally-Significant Requirements that Drive Them QUASAR Version 1 (July 2006) emphasized the quality assessment of architectures against architecturally-significant requirements. QUASAR Version 2 (February 2007) addresses the quality assessment of both architectures and their architecturally-significant requirements. QUASAR Tutorial Donald Firesmith, 28 March 2007 5 © 2007 Carnegie Mellon University Understanding QUASAR’s Definition To understand QUASAR’s definition, you must understand: • Quality • Quality Cases • Software-Intensive Systems (as opposed to just Software) • Architecture • Architecturally-Significant Requirements QUASAR Tutorial Donald Firesmith, 28 March 2007 6 © 2007 Carnegie Mellon University Quality Model: Defining System Architecture Quality QUASAR