The Software Architect -And the Software Architecture Team
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(Perry & Wolf 92) Software Architecture (Garlan & Shaw
ICS 221, Winter 2001 Software Architecture Software Architecture (Perry & Wolf 92) “Architecture is concerned with the selection of architectural elements, their interactions, and the Software Architecture constraints on those elements and their interactions necessary to provide a framework in which to satisfy the requirements and serve as a basis for the design.” David S. Rosenblum ICS 221 “Design is concerned with the modularization and detailed interfaces of the design elements, their Winter 2001 algorithms and procedures, and the data types needed to support the architecture and to satisfy the requirements.” Software Architecture Software Architecture (Garlan & Shaw 93) (Shaw & Garlan 96) “Software architecture is a level of design that goes “The architecture of a software system defines beyond the algorithms and data structures of the that system in terms of computational computation; designing and specifying the overall components and interactions among those system structure emerges as a new kind of problem. Structural issues include gross organization and components. … In addition to specifying the global control structure; protocols for communication, structure and topology of the system, the synchronization, and data access; assignment of architecture shows the correspondence functionality to design elements; physical between the requirements and elements of distribution; composition of design elements; scaling the constructed system, thereby providing and performance; and selection among design some rationale for the design decisions.” alternatives.” Analogies with Differences Between Civil and Civil Architecture Software Architecture Civil Engineering and Civil Architecture “Software systems are like cathedrals—first we are concerned with the engineering and design of build them and then we pray.” civic structures (roads, buildings, bridges, etc.) — Sam Redwine ! Multiple views ! Civil: Artist renderings, elevations, floor plans, blueprints ! Physical vs. -
Software Architecture and Agility
Agility and Architecture May 18 2010 Agility and Architecture: An Oxymoron? Philippe Kruchten Saturn May 18, 2010 Philippe Kruchten, Ph.D., P.Eng., CSDP Professor of So)ware Engineering NSERC Chair in Design Engineering Department of Electrical and Computer Engineering University of BriIsh Columbia Vancouver, BC Canada [email protected] Founder and president Kruchten Engineering Services Ltd Vancouver, BC Canada [email protected] Philippe Kruchten 1 Agility and Architecture May 18 2010 Agile & Architecture? Oil & Water? • Paradox • Oxymoron • Conflict • IncompaIbility Outline • Agility?? • SoSware architecture? • A story • Seven viewpoints on a single problem • The zipper model • A clash of two cultures • Summary Philippe Kruchten 2 Agility and Architecture May 18 2010 Agility • A definiIon – Agility is the ability to both create and respond to change in order to profit in a turbulent business environment. Jim Highsmith (2002) • CharacterisIcs – IteraIve and incremental – Small release – Collocaon – Release plan/ feature backlog – IteraIon plan/task backlog Sanjiv AugusIne (2004) Agile Values: the Agile Manifesto We have come to value: • Individuals and interacIons over process and tools, • Working soSware over comprehensive documents, • Customer collaboraIon over contract negoIaIon, • Responding to change over following a plan. That is, while there is value in the items on the right, we value the items on the leS more Source: hp://www.agilemanifesto.org/ Philippe Kruchten 3 Agility and Architecture May 18 2010 Geng at the Essence of Agility • SoSware development is a knowledge acIvity – Not producIon, manufacturing, administraIon… • The “machines” are humans • Dealing with uncertainty, unknowns, fear, distrust • Feedback loop -> – reflect on business, requirements, risks, process, people, technology • CommunicaIon and collaboraIon -> – Building trust Named Agile Methods • XP = eXtreme Programming (K. -
Designing Software Architecture to Support Continuous Delivery and Devops: a Systematic Literature Review
Designing Software Architecture to Support Continuous Delivery and DevOps: A Systematic Literature Review Robin Bolscher and Maya Daneva University of Twente, Drienerlolaan 5, Enschede, The Netherlands [email protected], [email protected] Keywords: Software Architecture, Continuous Delivery, Continuous Integration, DevOps, Deployability, Systematic Literature Review, Micro-services. Abstract: This paper presents a systematic literature review of software architecture approaches that support the implementation of Continuous Delivery (CD) and DevOps. Its goal is to provide an understanding of the state- of-the-art on the topic, which is informative for both researchers and practitioners. We found 17 characteristics of a software architecture that are beneficial for CD and DevOps adoption and identified ten potential software architecture obstacles in adopting CD and DevOps in the case of an existing software system. Moreover, our review indicated that micro-services are a dominant architectural style in this context. Our literature review has some implications: for researchers, it provides a map of the recent research efforts on software architecture in the CD and DevOps domain. For practitioners, it describes a set of software architecture principles that possibly can guide the process of creating or adapting software systems to fit in the CD and DevOps context. 1 INTRODUCTION designing new software architectures tailored for CD and DevOps practices. The practice of releasing software early and often has For clarity, before elaborating on the subject of been increasingly more adopted by software this SLR, we present the definitions of the concepts organizations (Fox et al., 2014) in order to stay that we will address: Software architecture of a competitive in the software market. -
Reflections on Software Architecture Linda Northrop SEI Fellow
Reflections on Software Architecture Linda Northrop SEI Fellow Software Engineering Institute Carnegie Mellon University Pittsburgh, PA 15213 © 2016 Carnegie Mellon University Distribution Statement A: Approved for Public Release; Distribution is Unlimited Notices Copyright 2016 Carnegie Mellon University This material is based upon work funded and supported by the Department of Defense under Contract No. FA8721-05-C-0003 with Carnegie Mellon University for the operation of the Software Engineering Institute, a federally funded research and development center. Any opinions, findings and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the United States Department of Defense. NO WARRANTY. THIS CARNEGIE MELLON UNIVERSITY AND SOFTWARE ENGINEERING INSTITUTE MATERIAL IS FURNISHED ON AN “AS-IS” BASIS. CARNEGIE MELLON UNIVERSITY MAKES NO WARRANTIES OF ANY KIND, EITHER EXPRESSED OR IMPLIED, AS TO ANY MATTER INCLUDING, BUT NOT LIMITED TO, WARRANTY OF FITNESS FOR PURPOSE OR MERCHANTABILITY, EXCLUSIVITY, OR RESULTS OBTAINED FROM USE OF THE MATERIAL. CARNEGIE MELLON UNIVERSITY DOES NOT MAKE ANY WARRANTY OF ANY KIND WITH RESPECT TO FREEDOM FROM PATENT, TRADEMARK, OR COPYRIGHT INFRINGEMENT. [Distribution Statement A] This material has been approved for public release and unlimited distribution. Please see Copyright notice for non-US Government use and distribution. This material may be reproduced in its entirety, without modification, and freely distributed in written or electronic form without requesting formal permission. Permission is required for any other use. Requests for permission should be directed to the Software Engineering Institute at [email protected]. Carnegie Mellon® and CERT® are registered marks of Carnegie Mellon University. -
Software Engineering (SE) 1
Software Engineering (SE) 1 SE 352 | OBJECT-ORIENTED ENTERPRISE APPLICATION DEVELOPMENT SOFTWARE ENGINEERING | 4 quarter hours (Undergraduate) (SE) This course focuses on applying object-oriented techniques in the design and development of software systems for enterprise applications. Topics SE 325 | INTRODUCTION TO SOFTWARE ENGINEERING | 4 quarter hours include component architecture, such as Java Beans and Enterprise (Undergraduate) Java Beans, GUI components, such as Swing, database connectivity and This course introduces students to the activities performed at each object repositories, server application integration using technologies stage of the development process so that they can understand the full such as servlets, Java Server Pages, JDBC and RMI, security and lifecycle context of specific tasks such as coding and testing. Topics will internationalization. PREREQUISITE(S): CSC 301. include software development processes, domain modeling, requirements CSC 301 is a prerequisite for this class. elicitation and specification, architectural design and analysis, product SE 356 | SOFTWARE DEVELOPMENT FOR MOBILE AND WIRELESS and process level metrics, configuration management, quality assurance SYSTEMS | 4 quarter hours activities including user acceptance testing and unit testing, project (Undergraduate) management skills such as risk analysis, effort estimation, project This course will focus on the unique aspects of developing software release planning, and software engineering ethics. applications for mobile and wireless systems, such as personal digital CSC 301 or CSC 393 is a prerequisite for this class. assistant (PDA) devices and mobile phones. Topics will include user SE 330 | OBJECT ORIENTED MODELING | 4 quarter hours interface design for small screens with restricted input modalities, data (Undergraduate) synchronization for mobile databases as well as wireless programming Object-oriented modeling techniques for analysis and design. -
Kruchten Frog Octopus JSS V6
Paper submitted to the Journal of Software and Systems, July 2011, resubmitted November 2011. The frog and the octopus: a conceptual model of software development Philippe Kruchten University of British Columbia 2332 Main Mall Vancouver BC V6N2T9 Canada email: [email protected] phone: +1 (604) 827-5654 fax: +1 (604) 822-5949 Abstract We propose a conceptual model of software development that encompasses all approaches: traditional or agile, light and heavy, for large and small development efforts. The model identifies both the common aspects in all software development, i.e., elements found in some form or another in each and every software development project (Intent, Product, People, Work, Time, Quality, Risk, Cost, Value), as well as the variable part, i.e., the main factors that cause the very wide variations we can find in the software development world (Size, Age, Criticality, Architecture stability, Business model, Governance, Rate of change, Geographic distribution). We show how the model can be used as an explanatory theory of software development, as a tool for analysis of practices, techniques, processes, as the basis for curriculum design or for software process adoption and improvement, and to support empirical research on software development methods. This model is also proposed as a way to depolarize the debate on agile methods versus the rest-of-the-world: a unified model. Keywords: software development, conceptual model, ontology, method, software development process, software engineering, theory Visual abstract for JSS: !"#$%& !"#$%& '()*& '()*& Alternate visual abstract for JSS: Authorʼs bio: Philippe Kruchten is professor of software engineering at the University of British Columbia, Vancouver, Canada. -
Composition of Software Architectures Christos Kloukinas
Composition of Software Architectures Christos Kloukinas To cite this version: Christos Kloukinas. Composition of Software Architectures. Computer Science [cs]. Université Rennes 1, 2002. English. tel-00469412 HAL Id: tel-00469412 https://tel.archives-ouvertes.fr/tel-00469412 Submitted on 1 Apr 2010 HAL is a multi-disciplinary open access L’archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destinée au dépôt et à la diffusion de documents entific research documents, whether they are pub- scientifiques de niveau recherche, publiés ou non, lished or not. The documents may come from émanant des établissements d’enseignement et de teaching and research institutions in France or recherche français ou étrangers, des laboratoires abroad, or from public or private research centers. publics ou privés. Composition of Software Architectures - Ph.D. Thesis - - Presented in front of the University of Rennes I, France - - English Version - Christos Kloukinas Jury Members : Jean-Pierre Banâtre Jacky Estublier Cliff Jones Valérie Issarny Nicole Lévy Joseph Sifakis February 12, 2002 Résumé Les systèmes informatiques deviennent de plus en plus complexes et doivent offrir un nombre croissant de propriétés non fonctionnelles, comme la fiabi- lité, la disponibilité, la sécurité, etc.. De telles propriétés sont habituellement fournies au moyen d’un intergiciel qui se situe entre le matériel (et le sys- tème d’exploitation) et le niveau applicatif, masquant ainsi les spécificités du système sous-jacent et permettant à des applications d’être utilisées avec dif- férentes infrastructures. Cependant, à mesure que les exigences de propriétés non fonctionnelles augmentent, les architectes système se trouvent confron- tés au cas où aucun intergiciel disponible ne fournit toutes les propriétés non fonctionnelles visées. -
Download Distributed Systems Free Ebook
DISTRIBUTED SYSTEMS DOWNLOAD FREE BOOK Maarten van Steen, Andrew S Tanenbaum | 596 pages | 01 Feb 2017 | Createspace Independent Publishing Platform | 9781543057386 | English | United States Distributed Systems - The Complete Guide The hope is that together, the system can maximize resources and information while preventing failures, as if one system fails, it won't affect the availability of the service. Banker's algorithm Dijkstra's algorithm DJP algorithm Prim's algorithm Dijkstra-Scholten algorithm Dekker's algorithm generalization Smoothsort Shunting-yard algorithm Distributed Systems marking algorithm Concurrent algorithms Distributed Systems algorithms Deadlock prevention algorithms Mutual exclusion algorithms Self-stabilizing Distributed Systems. Learn to code for free. For the first time computers would be able to send messages to other systems with a local IP address. The messages passed between machines contain forms of data that the systems want to share like databases, objects, and Distributed Systems. Also known as distributed computing and distributed databases, a distributed system is a collection of independent components located on different machines that share messages with each other in order to achieve common goals. To prevent infinite loops, running the code requires some amount of Ether. As mentioned in many places, one of which this great articleyou cannot have consistency and availability without partition tolerance. Because it works in batches jobs a problem arises where if your job fails — Distributed Systems need to restart the whole thing. While in a voting system an attacker need only add nodes to the network which is Distributed Systems, as free access to the network is a design targetin a CPU power based scheme an attacker faces a physical limitation: getting access to more and more powerful hardware. -
Introduction to Software Architecture
Introduction to Software Architecture Imed Hammouda Chalmers | University of Gothenburg Who am I? • Associate Professor of Software Engineering, previously in Tampere, Finland • Research interests – Software Architecture, Open Source, Software Ecosystems, Software Development Methods and Tools, Variability Management • Developing and supporting open software architectures • Studying socio-technical dependencies in software development • Software ecosystems • Coordinates: [email protected], [email protected] • Room 416, floor 4, Jupiter building, Campus Lindholmen • Phone +46 31 772 60 40 Introduction to Software Architecture 2 • What is software architecture? • Architectural drivers • Addressing architectural drivers • Architectural views • Example system Introduction to Software Architecture 3 What is Software Architecture? • Software Architecture is the global organization of a software system, including – the division of software into subsystems/components, – policies according to which these subsystems interact, – the definition of their interfaces. T. C. Lethbridge & R. Laganière Introduction to Software Architecture 4 What is Software Architecture? • "The software architecture of a program or computing system is the structure or structures of the system, which comprise software components, the externally visible properties of those components, and the relationships among them." Len Bass Introduction to Software Architecture 5 What is Software Architecture? • “fundamental concepts or properties of a system in its environment -
Understanding Architectural Assets
® IBM Software Group Understanding Architectural Assets Peter Eeles [email protected] © 2008 IBM Corporation IBM Software Group | Rational software Agenda Introduction Sources of architecture Types of architectural asset Characterizing architectural assets Automating asset reuse Conclusion 2 IBM Software Group | Rational software Inputs into this Presentation Working IEEE/IFIP Conference on Software Architecture (WICSA) 2008 18 – 22 February 2008, Vancouver, BC, Canada Working session: Architectural Knowledge IBM Asset Architecture Board Reusable Asset Specification Rational Asset Manager RUP for Asset-based Development © 2006 Tourism Vancouver 3 IBM Software Group | Rational software Agenda Introduction Sources of architecture Types of architectural asset Characterizing architectural assets Automating asset reuse Conclusion 4 IBM Software Group | Rational software Sources of Architecture Theft From a previous system or from technical literature Method An approach to deriving the architecture from the requirements Intuition The experience of the architect From “Mommy, Where Do Software Architectures Come From?”, Philippe Kruchten 1st International Workshop on Architectures for Software Systems, Seattle, 1995 5 IBM Software Group | Rational software Agenda Introduction Sources of architecture Types of architectural asset Characterizing architectural assets Automating asset reuse Conclusion 6 IBM Software Group | Rational software What Types of Architectural Asset are there? Reference Design Architecture -
110707 What Colours Is Your Backlog Boston 2Up.Pptx
Agile New England July 2011 Agility and Architecture or: What colours is your backlog? Philippe Kruchten July 7, 2011 Philippe Kruchten, Ph.D., P.Eng., CSDP Professor of So*ware Engineering NSERC Chair in Design Engineering Department of Electrical and Computer Engineering University of BriLsh Columbia Vancouver, BC Canada [email protected] Founder and president Kruchten Engineering Services Ltd Vancouver, BC Canada [email protected] Co founder and past-chair Copyright © 2011 Philippe Kruchten 2 Copyright © 2011 Philippe Kruchten 1 Agile New England July 2011 Outline 1. The frog and the octopus 2. Architecture and agility 3. Release planning 4. Technical debt 5. Architecture, agility,… revisited Copyright © 2011 Philippe Kruchten 5 A Conceptual Model of SoYware Development 4 key concepts, 5 key aributes . Intent . Time . Product . Value . Quality . Work . Cost . Risk . People Copyright © 2011 Philippe Kruchten 8 Copyright © 2011 Philippe Kruchten 2 Agile New England July 2011 Intent, Work, People, Product Copyright © 2011 Philippe Kruchten 9 Frog: “All projects are the same” Value Value Cost Cost Copyright © 2011 Philippe Kruchten 10 Copyright © 2011 Philippe Kruchten 3 Agile New England July 2011 Copyright © 2011 Philippe Kruchten 11 Octopus: “All projects are different!” Size Domain, Age of Degree of Industry the CriLcality Innovaon system Rate of Business change Context model Gover Stable architec nance Corporate & Team ture Organizaonal Naonal Culture distribu Maturity on Copyright © 2011 Philippe Kruchten 12 Copyright © 2011 Philippe Kruchten 4 Agile New England July 2011 SW Dev. Project: Tension between Intent and Product Intent Work V Product Copyright © 2011 Philippe Kruchten T 13 Iteraons Copyright © 2011 Philippe Kruchten 14 Copyright © 2011 Philippe Kruchten 5 Agile New England July 2011 Outline 1. -
Um Livro-Texto Para O Ensino De Projeto De Arquitetura De Software
Universidade Federal de Campina Grande Centro de Engenharia Elétrica e Informática Curso de Pós-Graduação em Ciência da Computação Um Livro-texto para o Ensino de Projeto de Arquitetura de Software Guilherme Mauro Germoglio Barbosa Dissertação submetida à Coordenação do Curso de Pós-Graduação em Ciência da Computação da Universidade Federal de Campina Grande - Campus I como parte dos requisitos necessários para obtençãodograu de Mestre em Ciência da Computação. Área de Concentração: Ciência da Computação Linha de Pesquisa: Engenharia de Software Jacques P. Sauvé (Orientador) Campina Grande, Paraíba, Brasil !c Guilherme Mauro Germoglio Barbosa, 04/09/2009 FICHA CATALOGRÁFICA ELABORADA PELA BIBLIOTECA CENTRAL DA UFCG B238l 2009 Barbosa, Guilherme Mauro Germoglio Um livro-texto para o ensino de projeto de arquitetura de software / Guilherme Mauro Germoglio Barbosa. ! Campina Grande, 2009. 209 f. : il. Dissertação (Mestrado em Ciência da Computação) – Universidade Federal de Campina Grande, Centro de Engenharia Elétrica e Informática. Referências. Orientadores: Prof. Dr. Jacques P. Sauvé. 1. Arquitetura de Software 2. Engenharia de Software 3. Projeto 4. Ensino I. Título. CDU – 004.415.2(043) Resumo Aarquiteturadesoftwareéaorganizaçãofundamentaldeumsistema, representada por seus componentes, seus relacionamentos com o ambiente, e pelos princípios que conduzem seu design e evolução. O projeto da arquitetura é importante no processo de desenvolvimento, pois ele orienta a implementação dos requisitos de qualidadedosoftwareeajudanocontrole intelectual sobre complexidade da solução. Além disso, serve como uma ferramenta de comunicação que promove a integridade conceitual entre os stakeholders. No entanto, os diversos livros adotados em disciplinas de Projeto de Arquitetura de Soft- ware assumem que o leitor tenha experiência prévia em desenvolvimento de software.