Evolution in Model-Driven Software Product-Line Architectures

Evolution in Model-Driven Software Product-Line Architectures

Gan Deng (Vanderbilt University, USA), Douglas C. Schmidt (Vanderbilt University, USA), Aniruddha Gokhale (Vanderbilt University, USA), Jeff Gray (University of Alabama at Birmingham, USA), Yuehua Lin (University of Alabama at Birmingham, USA) and Gunther Lenz (Microsoft, USA)
Copyright: © 2009 |Pages: 31
DOI: 10.4018/978-1-59904-699-0.ch005
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This chapter describes our approach to model-driven engineering (MDE)-based product line architectures (PLAs) and presents a solution to address the domain evolution problem. We use a case study of a representative software-intensive system from the distributed real-time embedded (DRE) systems domain to describe key challenges when facing domain evolution and how we can evolve PLAs systematically and minimize human intervention. The approach uses a mature metamodeling tool to define a modeling language in the representative DRE domain, and applies a model transformation tool to specify modelto- model transformation rules that precisely define metamodel and domain model changes. Our approach automates many tedious, time consuming, and error-prone tasks of model-to-model transformation, thus significantly reducing the complexity of PLA evolution.
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Software product-line architectures (PLAs) are a promising technology for industrializing software-intensive systems by focusing on the automated assembly and customization of domain-specific components, rather than (re)programming systems manually (Clements & Northrop, 2001). A PLA is a family of software-intensive product variants developed for a specific domain that share a set of common features. Conventional PLAs consist of component frameworks (Szyperski, 2002) as core assets, whose design captures recurring structures, connectors, and control flow in an application domain, along with the points of variation explicitly allowed among these entities. PLAs are typically designed using scope/commonality/variability (SCV) analysis (Coplien, Hoffman, & Weiss, 1998), which captures key characteristics of software product-lines, including: (1) scope, which defines the domains and context of the PLA, (2) commonalities, which name the attributes that recur across all members of the product family, and (3) variabilities, which contain the attributes unique to the different members of the product family.

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Table of Contents
Pierre F. Tiako
Chapter 1
Alf Inge Wang, Carl-Fredrik Sørensen
This chapter presents a framework for differentiated process support in large software projects. Process support can be differentiated in different... Sample PDF
Differentiated Process Support for Large Software Projects
Chapter 2
Holger Giese, Stefan Henkler, Martin Hirsch, Vladimir Rubin, Matthias Tichy
Software has become the driving force in the evolution of many systems, such as embedded systems (especially automotive applications)... Sample PDF
Modeling Techniques for Software-Intensive Systems
Chapter 3
Jaroslav Král, Michal Žemlicka
Software intensive systems are systems strongly depending on supporting software. The software is typically large, complex, and it as a rule... Sample PDF
Service Orientation and Software-Intensive Systems
Chapter 4
Alf Inge Wang, Carl-Fredrik Sørensen, Hien Nam Le, Heri Ramampiaro, Mads Nygård, Reidar Conradi
This chapter describes a requirement analysis framework that may be used as a tool for developing client-server systems for mobile workers. The... Sample PDF
From Scenarios to Requirements in Mobile Client-Server Systems
Chapter 5
Gan Deng, Douglas C. Schmidt, Aniruddha Gokhale, Jeff Gray, Yuehua Lin, Gunther Lenz
This chapter describes our approach to model-driven engineering (MDE)-based product line architectures (PLAs) and presents a solution to address the... Sample PDF
Evolution in Model-Driven Software Product-Line Architectures
Chapter 6
Ståle Walderhaug, Erlend Stav, Ulrik Johansen, Gøran K. Olsen
This chapter introduces a tracability solution for use in a model-driven software development approach. It argues that a trace model based on a... Sample PDF
Traceability in Model-Driven Software Development
Chapter 7
Gerhard Chroust, Erwin Schoitsch
When designing a complex software-intensive system it is unavoidable to make some a-priori basic assumptions about its architecture. We introduce... Sample PDF
Choosing Basic Architectural Alternatives
Chapter 8
Rafael Capilla, Margarita Martínez, Francisco Nava, Cristina Muñoz
Virtual reality systems are a kind of complex software systems that need a lot of effort and resources during its development phase. Because rigid... Sample PDF
Architecting Virtual Reality Systems
Chapter 9
Kendra M.L. Cooper, Lirong Dai, Renee Steiner, Rym Zalila Mili
This chapter presents a survey of software architecture approaches. It is intended for a broad audience of students, practitioners, and researchers... Sample PDF
A Survey of Software Architecture Approaches
Chapter 10
Daniel G. Waddington, Nilabja Roy, Douglas C. Schmidt
As software-intensive systems become larger, more parallel, and more unpredictable the ability to analyze their behavior is increasingly important.... Sample PDF
Dynamic Analysis and Profiling of Multithreaded Systems
Chapter 11
James H. Hill, Douglas C. Schmidt, John M. Slaby
This chapter introduces the next generation of system execution modeling tools designed around modeldriven engineering (MDE) coupled with... Sample PDF
Evaluating Quality of Service for Enterprise Distributed Systems
Chapter 12
Jules White, Douglas C. Schmidt, Andrey Nechypurenko, Egon Wuchner
Model-driven development is one approach to combating the complexity of designing software intensive systems. A model-driven approach allows... Sample PDF
Reducing the Complexity of Modeling Large Software Systems
Chapter 13
Enis Afgan, Purushotham Bangalore, Jeff Gray
Grid computing environments are dynamic and heterogeneous in nature. In order to realize applicationspecific Quality of Service agreements within a... Sample PDF
A Domain-Specific Language for Describing Grid Applications
Chapter 14
Jeff Elpern, Sergiu Dascalu
Traditional software engineering methodologies have mostly evolved from the environment of proprietary, large-scale software systems. Here, software... Sample PDF
A Framework for Understanding the Open Source Revolution
Chapter 15
Syed Ahsan, Abad Shah
With the proliferation of Web, a tremendous amount of data is available to researchers and scientists in computational sciences, business... Sample PDF
Quality Metrics for Evaluating Data Provenance
Chapter 16
Krishnakumar Balasubramanian, Douglas C. Schmidt, Zoltán Molnár, Ákos Lédeczi
With the emergence of commercial-off-the-shelf (COTS) component middleware technologies software system integrators are increasing faced with the... Sample PDF
System Integration Using Model-Driven Engineering
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