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INCOSE: the FAR Approach “Functional Analysis/Allocation and Requirements Flowdown Using Use Case Realizations”
in Proceedings of the 16th Intern. Symposium of the International Council on Systems Engineering (INCOSE'06), Orlando, FL, USA, Jul 2006. The FAR Approach – Functional Analysis/Allocation and Requirements Flowdown Using Use Case Realizations Magnus Eriksson1,2, Kjell Borg1, Jürgen Börstler2 1BAE Systems Hägglunds AB 2Umeå University SE-891 82 Örnsköldsvik SE-901 87 Umeå Sweden Sweden {magnus.eriksson, kjell.borg}@baesystems.se {magnuse, jubo}@cs.umu.se Copyright © 2006 by Magnus Eriksson, Kjell Borg and Jürgen Börstler. Published and used by INCOSE with permission. Abstract. This paper describes a use case driven approach for functional analysis/allocation and requirements flowdown. The approach utilizes use cases and use case realizations for functional architecture modeling, which in turn form the basis for design synthesis and requirements flowdown. We refer to this approach as the FAR (Functional Architecture by use case Realizations) approach. The FAR approach is currently applied in several large-scale defense projects within BAE Systems Hägglunds AB and the experience so far is quite positive. The approach is illustrated throughout the paper using the well known Automatic Teller Machine (ATM) example. INTRODUCTION Organizations developing software intensive defense systems, for example vehicles, are today faced with a number of challenges. These challenges are related to the characteristics of both the market place and the system domain. • Systems are growing ever more complex, consisting of tightly integrated mechanical, electrical/electronic and software components. • Systems have very long life spans, typically 30 years or longer. • Due to reduced acquisition budgets, these systems are often developed in relatively short series; ranging from only a few to several hundred units. -
CDA Logical Data Design
DEPARTMENT OF HEALTH & HUMAN SERVICES Centers for Medicare & Medicaid Services 7500 Security Boulevard, Mail Stop N2-14-26 Baltimore, Maryland 21244-1850 Central Data Administration ________________________ Logical Data Design ________________________ September 1, 2013 Prepared by: Centers for Medicare & Medicaid Services (CMS) Office of Information Services (OIS) Enterprise Data Group (EDG) Division of Data Enterprise Services (DDES) 7500 Security Boulevard, Baltimore, Maryland 21244-1850 Logical Data Design Revision\Change Description History Log Revision Date Revision\Change Description Pages Affected Version 1.0 12/13/2005 Initial Draft All Version 2.0 11/13/2009 Added role descriptions and All differentiated between local DA and central DA responsibilities. Version 3.0 3/23/2010 Added new reference to Section 1.7.1 pp 25 Version 4.0 9/27/2010 Add an additional Logical Model review pp 7 - 30 after the Design Phase Version 5.0 10/30/2012 Update seeding Logical Model with pp 13, 24, 26-27 ELDM. Changed EDM to ELDM. Added 1.8.2 Update ELDM from PLDM. Replace a reference to DM OP-023 (obsolete) to the New Model Design Review document. Version 6.0 9/01/2013 Updated references to the DM OP&G All document. Replaced all guidelines with operating procedures. Moved sections 1.2.4 and 1.2.5 to 1.3.3 and 1.3.4. 09/01/2013 Logical Data Design Page 2 Logical Data Design Table of Contents 1. LOGICAL DATA DESIGN .................................................................................................................................................... 4 1.1. INITIATE DATA DESIGN SERVICES ....................................................................................................................................... 7 1.2. ASSESS DATA DESIGN NEED ............................................................................................................................................... 9 1.3. START THE PROJECT LOGICAL DATA MODEL FROM THE ELDM ...................................................................................... -
SE SECTION B.Pdf
DEPARTMENT OF COMPUTER SCIENCE AND ENGG. SOFTWARE ENGG. SECTION-B Requirement Engineering The process to gather the software requirements from client, analyze and document them is known as requirement engineering. The goal of requirement engineering is to develop and maintain sophisticated and descriptive ‘System Requirements Specification’ document. Requirements analysis, also called requirements engineering, is the process of determining user expectations for a new or modified product. These features, called requirements, must be quantifiable, relevant and detailed. In software engineering, such requirements are often called functional specifications. Requirements engineering (RE) refers to the process of defining, documenting and maintaining requirements to the sub-fields of systems engineering and software engineering concerned with this process. The activities involved in requirements engineering vary widely, depending on the type of system being developed and the specific practices of the organization(s) involved. These may include: 1. Requirements inception or requirements elicitation - 2. Requirements identification - identifying new requirements 3. Requirements analysis and negotiation - checking requirements and resolving stakeholder conflicts 4. Requirements specification (e.g., software requirements specification; SRS) - documenting the requirements in a requirements document 5. Systems modeling - deriving models of the system, often using a notation such as the Unified Modeling Language (UML) or the Lifecycle Modeling Language -
The Sysml Modelling Language
The SysML Modelling Language Fifth European Systems Engineering Conference 18-20 September 2006 Matthew Hause Artisan Software Tools, Eagle Tower Suite 701, Cheltenham, Glos. UK, [email protected] Copyright © 2006 by Matthew Hause. Published and used by INCOSE with permission. On July 6th 2006, the Object Management Group™ (OMG™) announced the adoption of the OMG Systems Modeling Language (OMG SysML™) as a final adopted specification. The OMG SysML specification was in response to the joint Request for Proposal issued by the OMG and INCOSE (the International Council on Systems Engineering) for a customized version of UML 2 designed to address the specific needs of system engineers. The OMG SysML specification was developed by a broad-based team including tool vendors, leading industry users, government agencies and professional organizations over a period of 3 years. Creating the SysML specification, for which Artisan was the Specification Architect has been a mammoth task in which over 100 man-years of effort has been invested. OMG SysML is a visual modelling language that extends UML 2 in order to support the specification, analysis, design, verification and validation of complex systems that include components for hardware, software, data, personnel, procedures and facilities. OMG SysML is intended to be used with different methodologies including structured analysis, object orientation and others. OMG SysML reuses a subset of UML 2 concepts and diagrams and augments them with some new diagrams and constructs appropriate for systems modelling. This paper will look at the background of OMG SysML and summarize the OMG SysML specification including the modifications to UML 2.0, along with the new requirement and parametric diagrams. -
Augmenting Sadt with Uml
J10.4 AUGMENTING SADT WITH UML A HYBRID APPROACH FOR THE DESIGN OF OPERATIONAL SCIENCE ALGORITHMS John L. Baldwin *, Alexander Werbos, and T. Scott Zaccheo Atmospheric and Environmental Research (AER), Inc. 1. INTRODUCTION Science algorithms perform calculations for modeling This paper proposes a hybrid structured analysis and physical phenomena and estimating physical properties. object oriented design approach using SADT with UML They take input and control data to generate output toward developing science algorithms and documenting data. Implemented in software, science algorithms are legacy algorithms for incorporation into operational functional in nature and generally not user interactive. systems and environments. We present an introduction As such they can be designed as modular to GOES-R and its systems and software engineering computational units which may be run independently, as for context. This is followed by an introduction to SADT part of batch processing, or as components within a along with its strengths and drawbacks, a brief user or service interactive environment. Two introduction to UML, a working example of SADT, and contemporary approaches to address the analysis and then demonstrate how UML augments SADT for a design of such systems are Structured robust algorithm development approach. Analysis/Structured Design and Object Oriented Analysis and Design. Structured Analysis and Design 2. GOES-R OVERVIEW Technique (SADT) is a specific methodology which emerged out of the variety of different structured The National Oceanic and Atmospheric Administration’s analysis and structured design approaches. SADT was Geostationary Operational Environmental Satellite designed to simplify and provide a consistent model to system is a premier national asset with regard to describe hierarchical systems.