Document Title Template UML Profile and Modeling Guide

Total Page:16

File Type:pdf, Size:1020Kb

Document Title Template UML Profile and Modeling Guide Template UML Profile and Modeling Guide V2.2.2 R3.1 Rev 0001 Document Title Template UML Profile and Modeling Guide Document Owner AUTOSAR GbR Document Responsibility AUTOSAR GbR Document Identification No 121 Document Classification Auxiliary Document Version 2.2.2 Document Status Final Part of Release 3.1 Revision 0001 Document Change History Date Version Changed by Change Description 15.08.2008 2.2.2 AUTOSAR Layout adaptations Administration 23.06.2008 2.2.1 AUTOSAR Legal disclaimer revised Administration 20.12.2007 2.2.0 AUTOSAR • Removed stereotype Administration <<atpIdentifiable>> • Added stereotypes <<import>> • Refined stereotypes <<instanceRef…> • Optimized consistency of document • Added concept for documentation of model evolution • Added stereotype <<splitable>> • Document meta information extended • Small layout adaptations made 31.01.2007 2.1.0 AUTOSAR • Detailed modeling of instanceRefs and Administration indexedRefs added • Example on instanceRefs added • Legal disclaimer revised • Release Notes added • “Advice for users” revised • “Revision Information” added 1 of 86 Document ID 121:AUTOSAR_TemplateModelingGuide - AUTOSAR Confidential - Template UML Profile and Modeling Guide V2.2.2 R3.1 Rev 0001 18.10.2005 2.0.0 AUTOSAR • Formal reorganization of document Administration • Alignment with UML2 • Formal UML profile • Extraction of common patterns into separate document • Methodology added for model subset specification 09.05.2005 1.0.0 AUTOSAR Initial release Administration Page left intentionally blank 2 of 86 Document ID 121:AUTOSAR_TemplateModelingGuide - AUTOSAR confidential - Template UML Profile and Modeling Guide V2.2.2 R3.1 Rev 0001 Disclaimer This document of a specification as released by the AUTOSAR Development Partnership is intended for the purpose of information only. The commercial exploitation of material contained in this specification requires membership of the AUTOSAR Development Partnership or an agreement with the AUTOSAR Development Partnership. The AUTOSAR Development Partnership will not be liable for any use of this specification. Following the completion of the development of the AUTOSAR specifications commercial exploitation licenses will be made available to end users by way of written License Agreement only. No part of this publication may be reproduced or utilized in any form or by any means, electronic or mechanical, including photocopying and microfilm, without per- mission in writing from the publisher." The word AUTOSAR and the AUTOSAR logo are registered trademarks. Copyright © 2004-2008 AUTOSAR Development Partnership. All rights reserved. Advice to users of AUTOSAR Specification Documents: AUTOSAR Specification Documents may contain exemplary items (exemplary reference models, "use cases", and/or references to exemplary technical solutions, devices, processes or software). Any such exemplary items are contained in the Specification Documents for illustration purposes only, and they themselves are not part of the AUTOSAR Standard. Neither their presence in such Specification Documents, nor any later documentation of AUTOSAR conformance of products actually implementing such exemplary items, imply that intellectual property rights covering such exemplary items are licensed under the same rules as applicable to the AUTOSAR Standard. 3 of 86 AUTOSAR_TemplateModelingGuide - AUTOSAR confidential - Template UML Profile and Modeling Guide V2.2.2 R3.1 Rev 0001 Table of Contents 1 Introduction ....................................................................................................... 7 1.1 Origins and Goals ............................................................................................ 7 1.2 Document Guide.............................................................................................. 8 1.3 Terminology ..................................................................................................... 8 1.3.1 Terms ....................................................................................................... 8 1.3.2 UML Diagrams.......................................................................................... 9 1.3.3 Profile Classes........................................................................................ 10 1.3.4 Specification Items.................................................................................. 10 2 Requirements Traceability.............................................................................. 11 3 AUTOSAR Template Models at a Glance (informative)................................ 12 3.1 Scope............................................................................................................. 12 3.2 Usage of Packages........................................................................................ 12 3.3 Classes and Attributes................................................................................... 12 3.4 Enumerations................................................................................................. 13 3.5 Associations and Composite Aggregations.................................................... 13 3.6 Dependencies................................................................................................ 14 3.7 Types and Prototypes.................................................................................... 14 3.8 Structure Elements ........................................................................................ 20 3.9 Constraints..................................................................................................... 22 3.10 Metamodel Evolution ..................................................................................... 22 4 Alignment with UML and MOF........................................................................ 23 5 UML Profile for AUTOSAR Templates ........................................................... 25 5.1 Supported Modeling Constructs..................................................................... 25 5.2 UML Profile Specification............................................................................... 26 5.2.1 Classes................................................................................................... 26 5.2.2 Class Attributes....................................................................................... 29 5.2.3 Mixed Content......................................................................................... 32 5.2.4 Types, Prototypes, and Structure Elements ........................................... 33 5.2.5 Associations ........................................................................................... 35 5.2.6 IsOfType Association.............................................................................. 38 5.2.7 IndexedRef Association .......................................................................... 39 5.2.8 InstanceRef Association ......................................................................... 40 5.2.8.1 Detailed Representation of InstanceRef Association....................... 40 5.2.8.2 Short Representation of InstanceRef Association ........................... 45 5.2.8.3 ............................................................................................................... 46 5.2.8.4 Constraints on instanceRef associations......................................... 46 5.2.9 Constraints ............................................................................................. 50 5.2.10 Dependencies......................................................................................... 52 5.2.11 Packages................................................................................................ 53 5.2.12 Primitive Types ....................................................................................... 55 5.2.13 Enumerations.......................................................................................... 58 4 of 86 Document ID 121:AUTOSAR_TemplateModelingGuide - AUTOSAR confidential - Template UML Profile and Modeling Guide V2.2.2 R3.1 Rev 0001 5.2.14 Tagged Values........................................................................................ 58 5.2.15 Splitable attributes, associations and aggregations................................ 58 5.3 Summary ....................................................................................................... 60 6 Conventions..................................................................................................... 63 6.1 Naming Conventions...................................................................................... 63 6.1.1 Language................................................................................................ 63 6.1.2 Model Element Names ........................................................................... 63 6.1.3 Class Names .......................................................................................... 63 6.1.4 Diagram Names...................................................................................... 64 6.2 Modeling Conventions ................................................................................... 64 6.2.1 Unambiguous Models ............................................................................. 64 6.2.2 Abstract Classes..................................................................................... 64 6.2.3 Enumerations.......................................................................................... 64 6.2.4 Class Attributes vs.
Recommended publications
  • Metaobject Protocols: Why We Want Them and What Else They Can Do
    Metaobject protocols: Why we want them and what else they can do Gregor Kiczales, J.Michael Ashley, Luis Rodriguez, Amin Vahdat, and Daniel G. Bobrow Published in A. Paepcke, editor, Object-Oriented Programming: The CLOS Perspective, pages 101 ¾ 118. The MIT Press, Cambridge, MA, 1993. © Massachusetts Institute of Technology All rights reserved. No part of this book may be reproduced in any form by any electronic or mechanical means (including photocopying, recording, or information storage and retrieval) without permission in writing from the publisher. Metaob ject Proto cols WhyWeWant Them and What Else They Can Do App ears in Object OrientedProgramming: The CLOS Perspective c Copyright 1993 MIT Press Gregor Kiczales, J. Michael Ashley, Luis Ro driguez, Amin Vahdat and Daniel G. Bobrow Original ly conceivedasaneat idea that could help solve problems in the design and implementation of CLOS, the metaobject protocol framework now appears to have applicability to a wide range of problems that come up in high-level languages. This chapter sketches this wider potential, by drawing an analogy to ordinary language design, by presenting some early design principles, and by presenting an overview of three new metaobject protcols we have designed that, respectively, control the semantics of Scheme, the compilation of Scheme, and the static paral lelization of Scheme programs. Intro duction The CLOS Metaob ject Proto col MOP was motivated by the tension b etween, what at the time, seemed liketwo con icting desires. The rst was to have a relatively small but p owerful language for doing ob ject-oriented programming in Lisp. The second was to satisfy what seemed to b e a large numb er of user demands, including: compatibility with previous languages, p erformance compara- ble to or b etter than previous implementations and extensibility to allow further exp erimentation with ob ject-oriented concepts see Chapter 2 for examples of directions in which ob ject-oriented techniques might b e pushed.
    [Show full text]
  • J1939 Data Mapping Explained
    J1939 Data Mapping Explained Part No. BW2031 Revision: 1.05 May 18, 2018 Pyramid Solutions, Inc. 30200 Telegraph Road, Suite 440 Bingham Farms, MI 48025 www.pyramidsolutions.com | P: 248.549.1200 | F: 248.549.1400 © Pyramid Solutions 1 PUB-BW4031-001 Table of Contents Overview ......................................................................................................................... 2 J1939 Message Terminology ............................................................................................ 2 J1939 PGN Message Definitions ....................................................................................... 3 PGN and Parameter Documentation Examples ........................................................................ 3 J1939 Specification Example ........................................................................................................ 3 Parameter Table Example ............................................................................................................ 5 Determining the BridgeWay Data Table Layout ................................................................ 6 Data Table Layout for Modbus RTU and Modbus TCP (Big Endian) ........................................... 6 Data Table Layout for EtherNet/IP (Little Endian) .................................................................... 7 Configuring the BridgeWay I/O Mapping ......................................................................... 8 Configuration Attributes ........................................................................................................
    [Show full text]
  • An Optimal Control Approach for Determiniation of the Heat Loss Coefficient in an Ics Solar Domesticater W Heating System
    University of Central Florida STARS Electronic Theses and Dissertations, 2004-2019 2010 An Optimal Control Approach For Determiniation Of The Heat Loss Coefficient In An Ics Solar Domesticater W Heating System Camilo Gil University of Central Florida Part of the Electrical and Electronics Commons Find similar works at: https://stars.library.ucf.edu/etd University of Central Florida Libraries http://library.ucf.edu This Doctoral Dissertation (Open Access) is brought to you for free and open access by STARS. It has been accepted for inclusion in Electronic Theses and Dissertations, 2004-2019 by an authorized administrator of STARS. For more information, please contact [email protected]. STARS Citation Gil, Camilo, "An Optimal Control Approach For Determiniation Of The Heat Loss Coefficient In An Ics Solar Domestic Water Heating System" (2010). Electronic Theses and Dissertations, 2004-2019. 4297. https://stars.library.ucf.edu/etd/4297 AN OPTIMAL CONTROL APPROACH FOR DETERMINATION OF THE HEAT LOSS COEFFICIENT IN AN ICS SOLAR DOMESTIC WATER HEATING SYSTEM by CAMILO GIL B.S. Pontificia Universidad Javeriana, 2001 M.S. University of New Mexico, 2005 A dissertation submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy in the Department of Electrical and Computer Engineering in the College of Engineering and Computer Science at the University of Central Florida Orlando, Florida Summer Term 2010 Major Professor: Marwan Simaan ©2010 Camilo Gil ii ABSTRACT Water heating in a typical home in the U.S. accounts for a significant portion (between 14% and 25%) of the total home’s annual energy consumption. The objective of considerably reducing the home’s energy consumption from the utilities calls for the use of onsite renewable energy systems.
    [Show full text]
  • Chapter 2 Basics of Scanning And
    Chapter 2 Basics of Scanning and Conventional Programming in Java In this chapter, we will introduce you to an initial set of Java features, the equivalent of which you should have seen in your CS-1 class; the separation of problem, representation, algorithm and program – four concepts you have probably seen in your CS-1 class; style rules with which you are probably familiar, and scanning - a general class of problems we see in both computer science and other fields. Each chapter is associated with an animating recorded PowerPoint presentation and a YouTube video created from the presentation. It is meant to be a transcript of the associated presentation that contains little graphics and thus can be read even on a small device. You should refer to the associated material if you feel the need for a different instruction medium. Also associated with each chapter is hyperlinked code examples presented here. References to previously presented code modules are links that can be traversed to remind you of the details. The resources for this chapter are: PowerPoint Presentation YouTube Video Code Examples Algorithms and Representation Four concepts we explicitly or implicitly encounter while programming are problems, representations, algorithms and programs. Programs, of course, are instructions executed by the computer. Problems are what we try to solve when we write programs. Usually we do not go directly from problems to programs. Two intermediate steps are creating algorithms and identifying representations. Algorithms are sequences of steps to solve problems. So are programs. Thus, all programs are algorithms but the reverse is not true.
    [Show full text]
  • Advanced Software Engineering with C++ Templates Lecture 4: Separate Compilation and Templates III
    Advanced Software Engineering with C++ Templates Lecture 4: Separate Compilation and Templates III Thomas Gschwind <thgatzurichdotibmdotcom> Agenda . Separate Compilation • Introduction (C++ versus Java) • Variables • Routines (Functions & Operators) • Types (Structures, Classes) • Makefiles . Templates III • Design and Implementation (C++ versus Java versus C#) • “Dynamic” Static Algorithm Selection • Binders Th. Gschwind. Fortgeschrittene Programmierung in C++. 2 Separate Compilation . Why? • Having only one source file is unrealistic • Break the code up into its logical structure • Reduction of compile time - Only changed parts need to be recompiled . How? • Use multiple source files • Need to know what information about functions and variables “used” from other files Th. Gschwind. Fortgeschrittene Programmierung in C++. 3 Separate Compilation in Java . Each Java file is compiled into a class file . If a Java class invokes a method of another class, the compiler consults that other class file to • Determine whether the class provides the requested method • Determine whether a class file implements a given interface • etc. • Hence, the .class file contains the entire interface . That’s why in Java, the compiler needs the class path . Finally, all class files are loaded by the Java Virtual Machine (and “linked”) . Java source code can be relatively well reconstructed from .class file (see Java Decompiler: jd, jad) Th. Gschwind. Fortgeschrittene Programmierung in C++. 4 Some Java Trivia . Let us write Hello World in Java . In order to simplify the reconfiguration (e.g., translation) • Put all the constants into one Java file • Put the complex application code into another public class Const { public static final String msg="Hello World!"; } public class Cool { public static void main(String[] args) { System.out.println(Const.msg); } } Th.
    [Show full text]
  • P2356R0 Date 2021-04-09 Reply-To Matus Chochlik [email protected] Audience SG7 Overview Details
    Overview Details Implementing Factory builder on top of P2320 Document Number P2356R0 Date 2021-04-09 Reply-to Matus Chochlik [email protected] Audience SG7 Overview Details The goal (Semi-)automate the implementation of the Factory design pattern Overview Details What is meant by \Factory" here? • Class that constructs instances of a \Product" type. • From some external representation: • XML, • JSON, • YAML, • a GUI, • a scripting language, • a relational database, • ... Overview Details Factory builder • Framework combining the following parts • Meta-data • obtained from reflection. • Traits • units of code that handle various stages of construction, • specific to a particular external representation, • provided by user. Overview Details Factory builder • Used meta-data • type name strings, • list of meta-objects reflecting constructors, • list of meta-objects reflecting constructor parameters, • parameter type, • parameter name, • ... Overview Details Factory builder • Units handling the stages of construction • selecting the \best" constructor, • invoking the selected constructor, • conversion of parameter values from the external representation, • may recursively use factories for composite parameter types. Overview Details Used reflection features • ^T • [: :]1 • meta::name_of • meta::type_of • meta::members_of • meta::is_constructor • meta::is_default_constructor • meta::is_move_constructor • meta::is_copy_constructor • meta::parameters_of • size(Range) • range iterators 1to get back the reflected type Overview Details Reflection review • The good2 • How extensive and powerful the API is • The bad • Didn't find much3 • The ugly • Some of the syntax4 2great actually! 3some details follow 4but then this is a matter of personal preference Overview Details What is missing • The ability to easily unpack meta-objects from a range into a template, without un-reflecting them. • I used the following workaround + make_index_sequence: template <typename Iterator > consteval auto advance(Iterator it, size_t n) { while (n-- > 0) { ++ it; } return it; } • Details follow.
    [Show full text]
  • Objects and Classes in Python Documentation Release 0.1
    Objects and classes in Python Documentation Release 0.1 Jonathan Fine Sep 27, 2017 Contents 1 Decorators 2 1.1 The decorator syntax.........................................2 1.2 Bound methods............................................3 1.3 staticmethod() .........................................3 1.4 classmethod() ..........................................3 1.5 The call() decorator.......................................4 1.6 Nesting decorators..........................................4 1.7 Class decorators before Python 2.6.................................5 2 Constructing classes 6 2.1 The empty class...........................................6 3 dict_from_class() 8 3.1 The __dict__ of the empty class...................................8 3.2 Is the doc-string part of the body?..................................9 3.3 Definition of dict_from_class() ...............................9 4 property_from_class() 10 4.1 About properties........................................... 10 4.2 Definition of property_from_class() ............................ 11 4.3 Using property_from_class() ................................ 11 4.4 Unwanted keys............................................ 11 5 Deconstructing classes 13 6 type(name, bases, dict) 14 6.1 Constructing the empty class..................................... 14 6.2 Constructing any class........................................ 15 6.3 Specifying __doc__, __name__ and __module__.......................... 15 7 Subclassing int 16 7.1 Mutable and immutable types.................................... 16 7.2
    [Show full text]
  • Lecture 2: Variables and Primitive Data Types
    Lecture 2: Variables and Primitive Data Types MIT-AITI Kenya 2005 1 In this lecture, you will learn… • What a variable is – Types of variables – Naming of variables – Variable assignment • What a primitive data type is • Other data types (ex. String) MIT-Africa Internet Technology Initiative 2 ©2005 What is a Variable? • In basic algebra, variables are symbols that can represent values in formulas. • For example the variable x in the formula f(x)=x2+2 can represent any number value. • Similarly, variables in computer program are symbols for arbitrary data. MIT-Africa Internet Technology Initiative 3 ©2005 A Variable Analogy • Think of variables as an empty box that you can put values in. • We can label the box with a name like “Box X” and re-use it many times. • Can perform tasks on the box without caring about what’s inside: – “Move Box X to Shelf A” – “Put item Z in box” – “Open Box X” – “Remove contents from Box X” MIT-Africa Internet Technology Initiative 4 ©2005 Variables Types in Java • Variables in Java have a type. • The type defines what kinds of values a variable is allowed to store. • Think of a variable’s type as the size or shape of the empty box. • The variable x in f(x)=x2+2 is implicitly a number. • If x is a symbol representing the word “Fish”, the formula doesn’t make sense. MIT-Africa Internet Technology Initiative 5 ©2005 Java Types • Integer Types: – int: Most numbers you’ll deal with. – long: Big integers; science, finance, computing. – short: Small integers.
    [Show full text]
  • Unified Modeling Language 2.0 Part 1 - Introduction
    UML 2.0 – Tutorial (v4) 1 Unified Modeling Language 2.0 Part 1 - Introduction Prof. Dr. Harald Störrle Dr. Alexander Knapp University of Innsbruck University of Munich mgm technology partners (c) 2005-2006, Dr. H. Störrle, Dr. A. Knapp UML 2.0 – Tutorial (v4) 2 1 - Introduction History and Predecessors • The UML is the “lingua franca” of software engineering. • It subsumes, integrates and consolidates most predecessors. • Through the network effect, UML has a much broader spread and much better support (tools, books, trainings etc.) than other notations. • The transition from UML 1.x to UML 2.0 has – resolved a great number of issues; – introduced many new concepts and notations (often feebly defined); – overhauled and improved the internal structure completely. • While UML 2.0 still has many problems, current version (“the standard”) it is much better than what we ever had formal/05-07-04 of August ‘05 before. (c) 2005-2006, Dr. H. Störrle, Dr. A. Knapp UML 2.0 – Tutorial (v4) 3 1 - Introduction Usage Scenarios • UML has not been designed for specific, limited usages. • There is currently no consensus on the role of the UML: – Some see UML only as tool for sketching class diagrams representing Java programs. – Some believe that UML is “the prototype of the next generation of programming languages”. • UML is a really a system of languages (“notations”, “diagram types”) each of which may be used in a number of different situations. • UML is applicable for a multitude of purposes, during all phases of the software lifecycle, and for all sizes of systems - to varying degrees.
    [Show full text]
  • Csci 658-01: Software Language Engineering Python 3 Reflexive
    CSci 658-01: Software Language Engineering Python 3 Reflexive Metaprogramming Chapter 3 H. Conrad Cunningham 4 May 2018 Contents 3 Decorators and Metaclasses 2 3.1 Basic Function-Level Debugging . .2 3.1.1 Motivating example . .2 3.1.2 Abstraction Principle, staying DRY . .3 3.1.3 Function decorators . .3 3.1.4 Constructing a debug decorator . .4 3.1.5 Using the debug decorator . .6 3.1.6 Case study review . .7 3.1.7 Variations . .7 3.1.7.1 Logging . .7 3.1.7.2 Optional disable . .8 3.2 Extended Function-Level Debugging . .8 3.2.1 Motivating example . .8 3.2.2 Decorators with arguments . .9 3.2.3 Prefix decorator . .9 3.2.4 Reformulated prefix decorator . 10 3.3 Class-Level Debugging . 12 3.3.1 Motivating example . 12 3.3.2 Class-level debugger . 12 3.3.3 Variation: Attribute access debugging . 14 3.4 Class Hierarchy Debugging . 16 3.4.1 Motivating example . 16 3.4.2 Review of objects and types . 17 3.4.3 Class definition process . 18 3.4.4 Changing the metaclass . 20 3.4.5 Debugging using a metaclass . 21 3.4.6 Why metaclasses? . 22 3.5 Chapter Summary . 23 1 3.6 Exercises . 23 3.7 Acknowledgements . 23 3.8 References . 24 3.9 Terms and Concepts . 24 Copyright (C) 2018, H. Conrad Cunningham Professor of Computer and Information Science University of Mississippi 211 Weir Hall P.O. Box 1848 University, MS 38677 (662) 915-5358 Note: This chapter adapts David Beazley’s debugly example presentation from his Python 3 Metaprogramming tutorial at PyCon’2013 [Beazley 2013a].
    [Show full text]
  • The Use of UML for Software Requirements Expression and Management
    The Use of UML for Software Requirements Expression and Management Alex Murray Ken Clark Jet Propulsion Laboratory Jet Propulsion Laboratory California Institute of Technology California Institute of Technology Pasadena, CA 91109 Pasadena, CA 91109 818-354-0111 818-393-6258 [email protected] [email protected] Abstract— It is common practice to write English-language 1. INTRODUCTION ”shall” statements to embody detailed software requirements in aerospace software applications. This paper explores the This work is being performed as part of the engineering of use of the UML language as a replacement for the English the flight software for the Laser Ranging Interferometer (LRI) language for this purpose. Among the advantages offered by the of the Gravity Recovery and Climate Experiment (GRACE) Unified Modeling Language (UML) is a high degree of clarity Follow-On (F-O) mission. However, rather than use the real and precision in the expression of domain concepts as well as project’s model to illustrate our approach in this paper, we architecture and design. Can this quality of UML be exploited have developed a separate, ”toy” model for use here, because for the definition of software requirements? this makes it easier to avoid getting bogged down in project details, and instead to focus on the technical approach to While expressing logical behavior, interface characteristics, requirements expression and management that is the subject timeliness constraints, and other constraints on software using UML is commonly done and relatively straight-forward, achiev- of this paper. ing the additional aspects of the expression and management of software requirements that stakeholders expect, especially There is one exception to this choice: we will describe our traceability, is far less so.
    [Show full text]
  • Metaclasses: Generative C++
    Metaclasses: Generative C++ Document Number: P0707 R3 Date: 2018-02-11 Reply-to: Herb Sutter ([email protected]) Audience: SG7, EWG Contents 1 Overview .............................................................................................................................................................2 2 Language: Metaclasses .......................................................................................................................................7 3 Library: Example metaclasses .......................................................................................................................... 18 4 Applying metaclasses: Qt moc and C++/WinRT .............................................................................................. 35 5 Alternatives for sourcedefinition transform syntax .................................................................................... 41 6 Alternatives for applying the transform .......................................................................................................... 43 7 FAQs ................................................................................................................................................................. 46 8 Revision history ............................................................................................................................................... 51 Major changes in R3: Switched to function-style declaration syntax per SG7 direction in Albuquerque (old: $class M new: constexpr void M(meta::type target,
    [Show full text]