Using Telelogic DOORS and Microsoft Visio to Model and Visualize Complex Business Processes
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The Guide to Succeeding with Use Cases
USE-CASE 2.0 The Guide to Succeeding with Use Cases Ivar Jacobson Ian Spence Kurt Bittner December 2011 USE-CASE 2.0 The Definitive Guide About this Guide 3 How to read this Guide 3 What is Use-Case 2.0? 4 First Principles 5 Principle 1: Keep it simple by telling stories 5 Principle 2: Understand the big picture 5 Principle 3: Focus on value 7 Principle 4: Build the system in slices 8 Principle 5: Deliver the system in increments 10 Principle 6: Adapt to meet the team’s needs 11 Use-Case 2.0 Content 13 Things to Work With 13 Work Products 18 Things to do 23 Using Use-Case 2.0 30 Use-Case 2.0: Applicable for all types of system 30 Use-Case 2.0: Handling all types of requirement 31 Use-Case 2.0: Applicable for all development approaches 31 Use-Case 2.0: Scaling to meet your needs – scaling in, scaling out and scaling up 39 Conclusion 40 Appendix 1: Work Products 41 Supporting Information 42 Test Case 44 Use-Case Model 46 Use-Case Narrative 47 Use-Case Realization 49 Glossary of Terms 51 Acknowledgements 52 General 52 People 52 Bibliography 53 About the Authors 54 USE-CASE 2.0 The Definitive Guide Page 2 © 2005-2011 IvAr JacobSon InternationAl SA. All rights reserved. About this Guide This guide describes how to apply use cases in an agile and scalable fashion. It builds on the current state of the art to present an evolution of the use-case technique that we call Use-Case 2.0. -
Powerdesigner 16.6 Data Modeling
SAP® PowerDesigner® Document Version: 16.6 – 2016-02-22 Data Modeling Content 1 Building Data Models ...........................................................8 1.1 Getting Started with Data Modeling...................................................8 Conceptual Data Models........................................................8 Logical Data Models...........................................................9 Physical Data Models..........................................................9 Creating a Data Model.........................................................10 Customizing your Modeling Environment........................................... 15 1.2 Conceptual and Logical Diagrams...................................................26 Supported CDM/LDM Notations.................................................27 Conceptual Diagrams.........................................................31 Logical Diagrams............................................................43 Data Items (CDM)............................................................47 Entities (CDM/LDM)..........................................................49 Attributes (CDM/LDM)........................................................55 Identifiers (CDM/LDM)........................................................58 Relationships (CDM/LDM)..................................................... 59 Associations and Association Links (CDM)..........................................70 Inheritances (CDM/LDM)......................................................77 1.3 Physical Diagrams..............................................................82 -
UML Tutorial: Part 1 -- Class Diagrams
UML Tutorial: Part 1 -- Class Diagrams. Robert C. Martin My next several columns will be a running tutorial of UML. The 1.0 version of UML was released on the 13th of January, 1997. The 1.1 release should be out before the end of the year. This col- umn will track the progress of UML and present the issues that the three amigos (Grady Booch, Jim Rumbaugh, and Ivar Jacobson) are dealing with. Introduction UML stands for Unified Modeling Language. It represents a unification of the concepts and nota- tions presented by the three amigos in their respective books1. The goal is for UML to become a common language for creating models of object oriented computer software. In its current form UML is comprised of two major components: a Meta-model and a notation. In the future, some form of method or process may also be added to; or associated with, UML. The Meta-model UML is unique in that it has a standard data representation. This representation is called the meta- model. The meta-model is a description of UML in UML. It describes the objects, attributes, and relationships necessary to represent the concepts of UML within a software application. This provides CASE manufacturers with a standard and unambiguous way to represent UML models. Hopefully it will allow for easy transport of UML models between tools. It may also make it easier to write ancillary tools for browsing, summarizing, and modifying UML models. A deeper discussion of the metamodel is beyond the scope of this column. Interested readers can learn more about it by downloading the UML documents from the rational web site2. -
Justice XML Data Model Technical Overview
Justice XML Data Model Technical Overview April 2003 WhyWhy JusticeJustice XMLXML DataData ModelModel VersionVersion 3.0?3.0? • Aligned with standards (some were not available to RDD) • Model-based Æ consistent • Requirements-based – data elements, processes, and documents • Object-oriented Æ efficient extension and reuse • Expanded domain (courts, corrections, and juvenile) • Extensions to activity objects/processes • Relationships (to improve exchange information context) • Can evolve/advance with emerging technology (RDF/OWL) • Model provides the basis for an XML component registry that can provide • Searching/browsing components and metadata • Assistance for schema development/generation • Reference/cache XML schemas for validation • Interface (via standard specs) to external XML registries April 2003 DesignDesign PrinciplesPrinciples • Design and synthesize a common set of reusable, extensible data components for a Justice XML Data Dictionary (JXDD) that facilitates standard information exchange in XML. • Generalize JXDD for the justice and public safety communities – do NOT target specific applications. • Provide reference-able schema components primarily for schema developers. • JXDD and schema will evolve and, therefore, facilitate change and extension. • Best extension methods should minimize impact on prior schema and code investments. • Implement and represent domain relationships so they are globally understood. • Technical dependencies in requirements, solutions, and the time constraints of national priorities and demands -
Object Query Language Reference Version: Itop 1.0
Object Query Language Reference Version: Itop 1.0 Overview OQL aims at defining a subset of the data in a natural language, while hiding the complexity of the data model and benefit of the power of the object model (encapsulation, inheritance). Its syntax sticks to the syntax of SQL, and its grammar is a subset of SQL. As of now, only SELECT statements have been implemented. Such a statement do return objects of the expected class. The result will be used by programmatic means (to develop an API like ITOp). A famous example: the library Starter SELECT Book Do return any book existing in the Database. No need to specify the expected columns as we would do in a SQL SELECT clause: OQL do return plain objects. Join classes together I would like to list all books written by someone whose name starts with `Camus' SELECT Book JOIN Artist ON Book.written_by = Artist.id WHERE Artist.name LIKE 'Camus%' Note that there is no need to specify wether the JOIN is an INNER JOIN, or LEFT JOIN. This is well-known in the data model. The OQL engine will in turn create a SQL queries based on the relevant option, but we do not want to care about it, do we? © Combodo 2010 1 Now, you may consider that the name of the author of a book is of importance. This is the case if should be displayed anytime you will list a set of books, or if it is an important key to search for. Then you have the option to change the data model, and define the name of the author as an external field. -
Data Model Standards and Guidelines, Registration Policies And
Data Model Standards and Guidelines, Registration Policies and Procedures Version 3.2 ● 6/02/2017 Data Model Standards and Guidelines, Registration Policies and Procedures Document Version Control Document Version Control VERSION D ATE AUTHOR DESCRIPTION DRAFT 03/28/07 Venkatesh Kadadasu Baseline Draft Document 0.1 05/04/2007 Venkatesh Kadadasu Sections 1.1, 1.2, 1.3, 1.4 revised 0.2 05/07/2007 Venkatesh Kadadasu Sections 1.4, 2.0, 2.2, 2.2.1, 3.1, 3.2, 3.2.1, 3.2.2 revised 0.3 05/24/07 Venkatesh Kadadasu Incorporated feedback from Uli 0.4 5/31/2007 Venkatesh Kadadasu Incorporated Steve’s feedback: Section 1.5 Issues -Change Decide to Decision Section 2.2.5 Coordinate with Kumar and Lisa to determine the class words used by XML community, and identify them in the document. (This was discussed previously.) Data Standardization - We have discussed on several occasions the cross-walk table between tabular naming standards and XML. When did it get dropped? Section 2.3.2 Conceptual data model level of detail: changed (S) No foreign key attributes may be entered in the conceptual data model. To (S) No attributes may be entered in the conceptual data model. 0.5 6/4/2007 Steve Horn Move last paragraph of Section 2.0 to section 2.1.4 Data Standardization Added definitions of key terms 0.6 6/5/2007 Ulrike Nasshan Section 2.2.5 Coordinate with Kumar and Lisa to determine the class words used by XML community, and identify them in the document. -
Integration Definition for Function Modeling (IDEF0)
NIST U.S. DEPARTMENT OF COMMERCE PUBLICATIONS £ Technology Administration National Institute of Standards and Technology FIPS PUB 183 FEDERAL INFORMATION PROCESSING STANDARDS PUBLICATION INTEGRATION DEFINITION FOR FUNCTION MODELING (IDEFO) » Category: Software Standard SUBCATEGORY: MODELING TECHNIQUES 1993 December 21 183 PUB FIPS JK- 45C .AS A3 //I S3 IS 93 FIPS PUB 183 FEDERAL INFORMATION PROCESSING STANDARDS PUBLICATION INTEGRATION DEFINITION FOR FUNCTION MODELING (IDEFO) Category: Software Standard Subcategory: Modeling Techniques Computer Systems Laboratory National Institute of Standards and Technology Gaithersburg, MD 20899 Issued December 21, 1993 U.S. Department of Commerce Ronald H. Brown, Secretary Technology Administration Mary L. Good, Under Secretary for Technology National Institute of Standards and Technology Arati Prabhakar, Director Foreword The Federal Information Processing Standards Publication Series of the National Institute of Standards and Technology (NIST) is the official publication relating to standards and guidelines adopted and promulgated under the provisions of Section 111 (d) of the Federal Property and Administrative Services Act of 1949 as amended by the Computer Security Act of 1987, Public Law 100-235. These mandates have given the Secretary of Commerce and NIST important responsibilities for improving the utilization and management of computer and related telecommunications systems in the Federal Government. The NIST, through its Computer Systems Laboratory, provides leadership, technical guidance, -
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. -
Metamodeling and Method Engineering with Conceptbase”
This is a pre-print of the book chapter M. Jeusfeld: “Metamodeling and method engineering with ConceptBase” . In Jeusfeld, M.A., Jarke, M., Mylopoulos, J. (eds): Metamodeling for Method Engineering, pp. 89-168. The MIT Press., 2009; the original book is available from MIT Press http://mitpress.mit.edu/node/192290 This pre-print may only be used for scholar, non-commercial purposes. Most of the sources for the examples in this chapter are available via http://merkur.informatik.rwth-aachen.de/pub/bscw.cgi/3782591 for download. They require ConceptBase 7.0 or later available from http://conceptbase.cc. Metamodeling and Method Engineering with ConceptBase Manfred Jeusfeld Abstract. This chapter provides a practical guide on how to use the meta data repository ConceptBase to design information modeling methods by using meta- modeling. After motivating the abstraction principles behind meta-modeling, the language Telos as realized in ConceptBase is presented. First, a standard factual representation of statements at any IRDS abstraction level is defined. Then, the foundation of Telos as a logical theory is elaborated yielding simple fixpoint semantics. The principles for object naming, instantiation, attribution, and specialization are reflected by roughly 30 logical axioms. After the language axiomatization, user-defined rules, constraints and queries are introduced. The first part is concluded by a description of active rules that allows the specification of reactions of ConceptBase to external events. The second part applies the language features of the first part to a full-fledged information modeling method: The Yourdan method for Modern Structured Analysis. The notations of the Yourdan method are designed along the IRDS framework. -
Foundations of the Unified Modeling Language
Foundations of the Unified Modeling Language. CLARK, Anthony <http://orcid.org/0000-0003-3167-0739> and EVANS, Andy Available from Sheffield Hallam University Research Archive (SHURA) at: http://shura.shu.ac.uk/11889/ This document is the author deposited version. You are advised to consult the publisher's version if you wish to cite from it. Published version CLARK, Anthony and EVANS, Andy (1997). Foundations of the Unified Modeling Language. In: 2nd BCS-FACS Northern Formal Methods Workshop., Ilkley, UK, 14- 15 July 1997. Springer. Copyright and re-use policy See http://shura.shu.ac.uk/information.html Sheffield Hallam University Research Archive http://shura.shu.ac.uk Foundations of the Unified Modeling Language Tony Clark, Andy Evans Formal Methods Group, Department of Computing, University of Bradford, UK Abstract Object-oriented analysis and design is an increasingly popular software development method. The Unified Modeling Language (UML) has recently been proposed as a standard language for expressing object-oriented designs. Unfor- tunately, in its present form the UML lacks precisely defined semantics. This means that it is difficult to determine whether a design is consistent, whether a design modification is correct and whether a program correctly implements a design. Formal methods provide the rigor which is lacking in object-oriented design notations. This provision is often at the expense of clarity of exposition for the non-expert. Formal methods aim to use mathematical techniques in order to allow software development activities to be precisely defined, checked and ultimately automated. This paper aims to present an overview of work being undertaken to provide (a sub-set of) the UML with formal semantics. -
A Study on Process Description Method for DFM Using Ontology
Invited Paper A Study on Process Description Method for DFM Using Ontology K. Hiekata1 and H. Yamato2 1Department of Systems Innovation, Graduate School of Engineering, The University of Tokyo, 5-1-5, Kashiwanoha, Kashiwa-city, Chiba 277-8563, Japan 2Department of Human and Engineered Environmental Studies, Graduate School of Frontier Sciences, The University of Tokyo, 5-1-5, Kashiwanoha, Kashiwa-city, Chiba 277-8563, Japan [email protected], [email protected] Abstract A method to describe process and knowledge based on RDF which is an ontology description language and IDEF0 which is a formal process description format is proposed. Once knowledge of experienced engineers is embedded into the system the knowledge will be lost in the future. A production process is described in a proposed format similar to BOM and the process can be retrieved as a flow diagram to make the engineers to understand the product and process. Proposed method is applied to a simple production process of common sub-assembly of ships for evaluation. Keywords: Production process, DFM, Ontology, Computer system 1 INTRODUCTION (Unified Resource Identifier) is assigned to all the objects, There are many research and computer program for and metadata is defined for all objects using the URI. supporting optimization of production process in Metadata is defined as a statement with subject, shipyards. And knowledge of experienced engineers is predicate and object. The statement is called triple in embedded into the system. Once the knowledge is RDF. Two kinds of elements, Literal or Resource, can be embedded into computer system, the knowledge is not a component of a statement. -
Using Telelogic DOORS and Microsoft Visio to Model and Visualize
Using DOORS & Visio to Model and Visualize Complex Business Processes Bob Sherman - [email protected] [email protected] Using Telelogic DOORS and Microsoft Visio to Model and Visualize Complex Business Processes - v1.0 © 2005 Galactic Solutions Group LLC – Authors: Bob Sherman ([email protected]), [email protected] 1 © Telelogic AB Agenda • The Unmet Need • The Solution – Strategy: Business Driven Application Lifecycle – Tactics: Business Modeling via DOORS & VISIO – Tactics: DOORS/VISIO Integration • Case Study Results Using Telelogic DOORS and Microsoft Visio to Model and Visualize Complex Business Processes - v1.0 © 2005 Galactic Solutions Group LLC – Authors: Bob Sherman ([email protected]), [email protected] 2 © Telelogic AB Chronic IT Project Problems Top IT Project Problems • User/Stakeholder Engagement Outages • Unclear Objectives • Incomplete or Changing Requirements *Standish Group Chaos Studies Using Telelogic DOORS and Microsoft Visio to Model and Visualize Complex Business Processes - v1.0 © 2005 Galactic Solutions Group LLC – Authors: Bob Sherman ([email protected]), [email protected] 3 © Telelogic AB Chronic IT Project Problems Rework • 35-65% of project budget *Standish Group spent on rework. • ~50% of rework is due to requirements errors * IEEE & University of Southern California Using Telelogic DOORS and Microsoft Visio to Model and Visualize Complex Business Processes - v1.0 © 2005 Galactic Solutions Group LLC – Authors: