Systems Engineering Newsletters, Please Unsubscribe by Clicking on the Link at the Bottom of This Email
Total Page:16
File Type:pdf, Size:1020Kb

Load more
Recommended publications
-
PML, an Object Oriented Process Modelling Language
PML, an Object Oriented Process Modeling Language Prof. Dr.-Ing. Reiner Anderl 1, and Dipl.-Ing. Jochen Raßler 2 1 Prof. Dr.-Ing. Reiner Anderl, Germany, [email protected] 2 Dipl.-Ing. Jochen Raßler, Germany, [email protected] Abstract: Processes are very important for the success within many business fields. They define the proper application of methods, technologies, tools and company structures in order to reach business goals. Important processes to be defined are manufacturing processes or product development processes for example to guarantee the company’s success. Over the last decades many process modeling languages have been developed to cover the needs of process modeling. Those modeling languages have several limitations, mainly they are still procedural and didn’t follow the paradigm change to object oriented modeling and thus often lead to process models, which are difficult to maintain. In previous papers we have introduced PML, Process Modeling Language, and shown it’s usage in process modeling. PML is derived from UML and hence fully object oriented and uses modern modeling techniques. It is based on process class diagrams that describe methods and resources for process modeling. In this paper the modeling language is described in more detail and new language elements will be introduced to develop the language to a generic usable process modeling language. Keywords: process modeling language, PML, UML 1. Introduction As the tendency of enterprises to collaborate growths steadily, industry faces new challenges managing business processes, product development processes, manufacturing processes and much more. Furthermore, discipline spanning product development processes are increasing, e. -
Engineering of IT Management Automation Along Task Analysis, Loops, Function Allocation, Machine Capabilities
Engineering of IT Management Automation along Task Analysis, Loops, Function Allocation, Machine Capabilities Dissertation an der Fakultat¨ fur¨ Mathematik, Informatik und Statistik der Ludwig-Maximilians-Universitat¨ Munchen¨ vorgelegt von Ralf Konig¨ Tag der Einreichung: 12. April 2010 Engineering of IT Management Automation along Task Analysis, Loops, Function Allocation, Machine Capabilities Dissertation an der Fakultat¨ fur¨ Mathematik, Informatik und Statistik der Ludwig-Maximilians-Universitat¨ Munchen¨ vorgelegt von Ralf Konig¨ Tag der Einreichung: 12. April 2010 Tag des Rigorosums: 26. April 2010 1. Berichterstatter: Prof. Dr. Heinz-Gerd Hegering, Ludwig-Maximilians-Universitat¨ Munchen¨ 2. Berichterstatter: Prof. Dr. Bernhard Neumair, Georg-August-Universitat¨ Gottingen¨ Abstract This thesis deals with the problem, that IT management automation projects are all tackled in a different manner with a different general approach and different resulting system architecture. It is a relevant problem for at least two reasons: 1) more and more IT resources with built-in or asso- ciated IT management automation systems are built today. It is inefficient to try to solve each on their own. And 2) doing so, reuse of knowledge between IT management automation systems, as well as reuse of knowledge from other domains is severely limited. While this worked with simple stand-alone remote monitoring and remote control facilities, automation of cognitive tasks will more and more profit from existing knowledge in domains such as artificial intelligence, statistics, control theory, and automated planning. A common structure also would ease integration and coupling of such systems, delegating cognitive partial tasks, and switching between commonly defined levels of automation. So far, this problem is only partly solved. -
Collaborative Software Performance Engineering for Enterprise Applications
Proceedings of the 50th Hawaii International Conference on System Sciences | 2017 Collaborative Software Performance Engineering for Enterprise Applications Hendrik Müller, Sascha Bosse, Markus Wirth, Klaus Turowski Faculty of Computer Science, Otto-von-Guericke-University, Magdeburg, Germany {hendrik.mueller, sascha.bosse, markus.wirth, klaus.turowski}@ovgu.de Abstract address these challenges from a software engineering perspective under the term DevOps [2], [3]. In the domain of enterprise applications, Corresponding research activities aim at increased organizations usually implement third-party standard flexibility through shorter release cycles in order to software components in order to save costs. Hence, support frequently changing business processes. application performance monitoring activities Therefore, DevOps enables a culture, practices and constantly produce log entries that are comparable to automation that support fast, efficient and reliable a certain extent, holding the potential for valuable software delivery [4]. However, especially for collaboration across organizational borders. Taking enterprise applications, IT departments usually make advantage of this fact, we propose a collaborative use of existing standard software components instead knowledge base, aimed to support decisions of of developing solutions entirely in-house [5]. In such performance engineering activities, carried out cases, activities referred to as Dev, rather include during early design phases of planned enterprise requirements engineering, architectural design, applications. To verify our assumption of cross- customization, testing, performance-tuning and organizational comparability, machine learning deployment [6]. Here, key service levels typically algorithms were trained on monitoring logs of 18,927 include performance objectives, expressed in terms of standard application instances productively running average response times, throughput or latency, in at different organizations around the globe. -
Extending and Evaluating the Model-Based Product Definition
NIST GCR 18-015 Extending and Evaluating the Model-based Product Definition Nathan W. Hartman Jesse Zahner Purdue University This publication is available free of charge from: https://doi.org/10.6028/NIST.GCR.18-015 NIST GCR 18-015 Extending and Evaluating the Model-based Product Definition Prepared for Thomas D. Hedberg, Jr. Allison Barnard Feeney U.S. Department of Commerce Engineering Laboratory National Institute of Standards and Technology Gaithersburg, MD 20899-8260 By Nathan W. Hartman Jesse Zahner PLM Center of Excellence Purdue University This publication is available free of charge from: https://doi.org/10.6028/NIST.GCR.18-015 December 2017 U.S. Department of Commerce Wilbur L. Ross, Jr., Secretary National Institute of Standards and Technology Walter Copan, NIST Director and Undersecretary of Commerce for Standards and Technology Disclaimer Any opinions, findings, conclusions, or recommendations expressed in this publication do not necessarily reflect the views of the National Institute of Standards and Technology (NIST). Additionally, neither NIST nor any of its employees make any warranty, expressed or implied, nor assume any legal liability or responsibility for the accuracy, completeness, or usefulness of any information, product, or process included in this publication. The report was prepared under cooperative agreement 70NANB15H311 between the National Institute of Standards and Technology and Purdue University. The statements and conclusions contained in this report are those of the authors and do not imply recommendations or endorsements by the National Institute of Standards and Technology. Certain commercial systems are identified in this report. Such identification does not imply recommendation or endorsement by the National Institute of Standards and Technology. -
Proquest Dissertations
Verification and Validation of UML and SysML Based Systems Engineering Design Models YOSR JARRAYA A THESIS IN The Department of Electrical and Computer Engineering Presented in Partial Fulfillment of the Requirements For the Degree of Doctor of Philosophy Concordia University Montréal, Québec, Canada April 2010 Yosr Jarraya, 2010 Library and Archives Bibliothèque et 1*1 Canada Archives Canada Published Heritage Direction du Branch Patrimoine de l'édition 395 Wellington Street 395, rue Wellington OttawaONK1A0N4 Ottawa ON K1A 0N4 Canada Canada Yourfìle Votre référence ISBN: 978-0-494-67341-6 Our file Notre référence ISBN: 978-0-494-67341-6 NOTICE: AVIS: The author has granted a non- L'auteur a accordé une licence non exclusive exclusive license allowing Library and permettant à la Bibliothèque et Archives Archives Canada to reproduce, Canada de reproduire, publier, archiver, publish, archive, preserve, conserve, sauvegarder, conserver, transmettre au public communicate to the public by par télécommunication ou par l'Internet, prêter, telecommunication or on the Internet, distribuer et vendre des thèses partout dans le loan, distribute and sell theses monde, à des fins commerciales ou autres, sur worldwide, for commercial or non- support microforme, papier, électronique et/ou commercial purposes, in microform, autres formats. paper, electronic and/or any other formats. The author retains copyright L'auteur conserve la propriété du droit d'auteur ownership and moral rights in this et des droits moraux qui protège cette thèse. Ni thesis. Neither the thesis nor la thèse ni des extraits substantiels de celle-ci substantial extracts from it may be ne doivent être imprimés ou autrement printed or otherwise reproduced reproduits sans son autorisation. -
Performance Analysis of Business Process Models with Advanced Constructs David Piessens Eindhoven University of Technology, [email protected]
Association for Information Systems AIS Electronic Library (AISeL) ACIS 2010 Proceedings Australasian (ACIS) 2010 Performance Analysis of Business Process Models with Advanced Constructs David Piessens Eindhoven University of Technology, [email protected] Queensland University of Technology Moe Thandar Wynn Queensland University of Technology, [email protected] Michael Adams Queensland University of Technology, [email protected] Boudewijn F. van Dongen Eindhoven University of Technology, [email protected] Follow this and additional works at: http://aisel.aisnet.org/acis2010 Recommended Citation Piessens, David; Queensland University of Technology; Wynn, Moe Thandar; Adams, Michael; and van Dongen, Boudewijn F., "Performance Analysis of Business Process Models with Advanced Constructs" (2010). ACIS 2010 Proceedings. 23. http://aisel.aisnet.org/acis2010/23 This material is brought to you by the Australasian (ACIS) at AIS Electronic Library (AISeL). It has been accepted for inclusion in ACIS 2010 Proceedings by an authorized administrator of AIS Electronic Library (AISeL). For more information, please contact [email protected]. 21 st Australasian Conference on Information Systems Performance Analysis of Business Process Models 1-3 Dec 2010, Brisbane Piessens et al. Performance Analysis of Business Process Models with Advanced Constructs David Piessens Eindhoven University of Technology, Eindhoven, The Netherlands Queensland University of Technology, Brisbane, Australia Email: [email protected] Moe Thandar Wynn Michael Adams Queensland University of Technology, Brisbane, Australia Email: [email protected]; [email protected] Boudewijn F. van Dongen Eindhoven University of Technology, Eindhoven, The Netherlands Email: [email protected] Abstract The importance of actively managing and analysing business processes is acknowledged more than ever in or- ganisations nowadays. -
The Backbone of the Performance Engineering Process Software
Performance Requirements: the Backbone of the Performance Engineering Process Alexander Podelko Oracle Performance requirements should to be tracked from system's inception through its whole lifecycle including design, development, testing, operations, and maintenance. They are the backbone of the performance engineering process. However different groups of people are involved in each stage and they use their own vision, terminology, metrics, and tools that makes the subject confusing when you go into details. The paper discusses existing issues and approaches in their relationship with the performance engineering process. What is the Problem? At first glance, the subject of performance requirements looks simple enough. Almost every book about performance has a few pages about performance requirements. Quite often a performance requirements section can be found in project documentation. However, the more you examine the area of performance requirements, the more questions and issues arise. The performance engineering process is a set of performance-related activities associated with every stage of the Software Development Life Cycle (SDLC). It may even be represented as a separate Performance Engineering Life Cycle going in parallel with the basic SDLC as on the fig.1 below [Performance12]: Software Development Performance Engineering Life Cycle Life Cycle Requirements Gathering and Analysis Performance Requirements Gathering and Analysis Architecture and Design Design for Performance and Performance Modeling Construction / Implementation Unit Performance Tests and Code Optimization Testing Performance Testing Deployment and Maintenance Performance Monitoring and Capacity Management Fig.1. Performance Engineering Life Cycle. 1 Performance requirements should be tracked from the system inception through the whole system l ifecycle including design, development, testing, operations, and maintenance. -
Applying Performance Patterns for Requirements Analysis
Applying Performance Patterns for Requirements Analysis Azadeh Alebrahim, paluno – The Ruhr Institute for Software Technology, Germany Maritta Heisel, paluno – The Ruhr Institute for Software Technology, Germany Performance as one of the critical quality requirements for the success of a software system must be integrated into software development from the beginning to prevent performance problems. Analyzing and modeling performance demands knowledge of performance experts and analysts. In order to integrate performance analysis into software analysis and design methods, performance-specific properties known as domain knowledge have to be identified, analyzed, and documented properly. In this paper, we propose the performance analysis method PoPeRA to guide the requirements engineer in dealing with performance problems as early as possible in requirements analysis. Our struc- tured method provides support for identifying potential performance problems using performance-specific domain knowledge attached to the requirement models. To deal with identified performance problems, we make use of performance analysis patterns to be applied to the requirement models in the requirements engineering phase. To show the application of our approach, we illustrate it with the case study CoCoME, a trading system to be deployed in supermarkets for handling sales. Categories and Subject Descriptors: I.5.2 [Pattern Recognition]: Design Methodology—pattern analysis; D.2.1 [Software Engineering]: Requirements/Specifications—Methodologies; D.2.9 [Software Engineering]: Management—Software quality assurance (SQA); D.2.11 [Software Engineering]: Software Architectures—Patterns General Terms: Design, Performance Additional Key Words and Phrases: Performance patterns, problem frames, requirements engineering, software architecture, UML ACM Reference Format: Alebrahim, A. and Heisel, M. 2015. Applying Performance Patterns for Requirements Analysis jn 2, 3, Article 1 (May 2010), 15 pages. -
From Uml to Performance Models by Xml Transformations
FROM UML TO PERFORMANCE MODELS BY XML TRANSFORMATIONS by Ping Gu A thesis submitted to the Faculty o f Graduate Studies and Research in partial fulfillment of the requirements for the degree o f Doctor o f Philosophy Ottawa-Carleton Institute for Electrical and Computer Engineering Faculty of Engineering Department of Systems and Computer Engineering Carleton University Ottawa, Ontario, Canada, K1S 5B6 October 2006 ©Copyright 2006, Ping Gu Reproduced with permission of the copyright owner. Further reproduction prohibited without permission. Library and Bibliotheque et Archives Canada Archives Canada Published Heritage Direction du Branch Patrimoine de I'edition 395 Wellington Street 395, rue Wellington Ottawa ON K1A 0N4 Ottawa ON K1A 0N4 Canada Canada Your file Votre reference ISBN: 978-0-494-27098-1 Our file Notre reference ISBN: 978-0-494-27098-1 NOTICE: AVIS: The author has granted a non L'auteur a accorde une licence non exclusive exclusive license allowing Library permettant a la Bibliotheque et Archives and Archives Canada to reproduce, Canada de reproduire, publier, archiver, publish, archive, preserve, conserve, sauvegarder, conserver, transmettre au public communicate to the public by par telecommunication ou par I'lnternet, preter, telecommunication or on the Internet, distribuer et vendre des theses partout dans loan, distribute and sell theses le monde, a des fins commerciales ou autres, worldwide, for commercial or non sur support microforme, papier, electronique commercial purposes, in microform, et/ou autres formats. paper, electronic and/or any other formats. The author retains copyright L'auteur conserve la propriete du droit d'auteur ownership and moral rights in et des droits moraux qui protege cette these. -
DCSA Information Model 3.0
DCSA Information Model 3.0 December 2020 Table of contents Version history __________________________________________________ 8 1 Introduction __________________________________________________ 9 1.1 Preface ______________________________________________________ 9 1.2 Purpose ______________________________________________________ 9 1.3 Overview _____________________________________________________ 10 1.4 Conformance __________________________________________________ 10 1.5 Supporting publications ___________________________________________ 10 2 DCSA Information Model 3.0 ________________________________________ 13 2.1 Introduction ___________________________________________________ 13 2.2 Selected data modelling terms defined _________________________________ 14 2.3 The DCSA Information Model data types and formats ________________________ 15 2.3.1 Attribute naming conventions ____________________________________ 16 3 Logical Data Model ____________________________________________ 18 4 Logical Data Model usage ________________________________________ 20 4.1 Track and trace (T&T) ____________________________________________ 20 4.2 Operational vessel schedules (OVS) ___________________________________ 21 4.3 eDocumentation _______________________________________________ 23 5 Subject areas in the Logical Data Model _______________________________ 25 5.1 Shipment ____________________________________________________ 26 5.1.1 Shipment reference data _______________________________________ 31 5.2 Transport Document _____________________________________________ -
Metamodelling for MDA
Metamodelling for MDA First International Workshop York, UK, November 2003 Proceedings Edited by Andy Evans Paul Sammut James S. Willans Table of Contents Preface ........................................................ 4 Principles Calling a Spade a Spade in the MDA Infrastructure ................... 9 Colin Atkinson and Thomas K¨uhne Do MDA Transformations Preserve Meaning? An investigation into preservingsemantics ........................................... 13 Anneke Kleppe and Jos Warmer MDA components: Challenges and Opportunities ..................... 23 Jean B´ezivin, S´ebastien G´erard, Pierre-Alain Muller and Laurent Rioux SafetyChallengesforModelDrivenDevelopment ..................... 42 N. Audsley, P. M. Conmy, S. K. Crook-Dawkins and R. Hawkins Invited talk: UML2 - a language for MDA (putting the U, M and L intoUML)?................................................... 61 Alan Moore Languages and Applications Using an MDA approach to model traceability within a modelling framework .................................................... 62 John Dalton, Peter W Norman, Steve Whittle, and T Eshan Rajabally Services integration by models annotation and transformation .......... 77 Olivier Nano and Mireille Blay-Fornarino 1 A Metamodel of Prototypical Instances .............................. 93 Andy Evans, Girish Maskeri, Alan Moore Paul Sammut and James S. Willans Metamodelling of Transaction Configurations ......................... 106 StenLoecherandHeinrichHussmann Invitedtalk:MarketingtheMDAToolChain......................... 109 Stephen -
Performance Engineering Initiatives for Early Software Test of High Availability Systems
Performance Engineering Initiatives for Early Software Test of High Availability Systems Ed Beck Sr. Manager NDIA Test & Evaluation Conference March 1-4, 2010 Slide 0 Overview Mission Solutions Engineering, LLC • Mission Solutions Engineering (MSE) is a full service systems and software engineering provider with 40 years’ experience in delivering mission systems. • Formed by CSC to address government concerns for potential OCI, MSE comprises CSC’s former systems and software engineering support to the US Navy and Missile Defense Agency, primarily operating out of Moorestown, New Jersey and with headquarters in Arlington, Virginia. • The core of our engineering activities is the design, development and integration of mission-critical software. We have been rated at Capability Maturity Model Integration1 Level 5 for software engineering (SW-CMMI®) since 2001 and systems engineering (SE- CMMI®) since 2004. Slide 1 Overview Aegis Weapon System • The world’s most advanced shipboard Anti-Air Warfare (AAW) Weapons System • A highly integrated Combat System capable of Multi- Mission warfare • Air, Surface and Subsurface • Open Architecture migration provides foundation for the modernization effort and future war fighting capabilities U.S. Navy Photo Slide 2 Overview • Performance Engineering (PE), Integration & Test • Catalyst for PE Initiatives • Performance Engineering Framework • Summary U.S. Navy Photo Slide 3 What is Performance Engineering? • Performance Engineering is an emerging Computer Science practice comprised of the following functions: – Capacity Planning – Projection of future resource needs based on historical data and growth projections – Performance Measurements – Demonstrating that the system meets performance criteria – Performance Analysis – Characterizing software behavior and identifying anomalies • In practice, as we have defined it at MSE, Performance Engineering is the process by which software is tested and tuned with the intent of realizing the required performance.