Volume 2 Number 3 (Sep. 2007)
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JSW 2007 Vol.2(3): 9-18 ISSN: 1796-217X
doi: 10.4304/jsw.2.3.9-18

Model-driven Engineering for Early QoS Validation of Component-based Software Systems

James H. Hill and Aniruddha Gokhale
Vanderbilt University, Nashville, TN, USA

Abstract—Model-driven engineering (MDE) techniques are increasingly being used to address many of the development and operational lifecycle concerns of large-scale component-based systems. One such concern that is growing in importance, but lacking significant research is the validation of quality-of-service (QoS) properties of component-based systems throughout their development lifecycle. In the current state of the art, large-scale component-based systems have to wait until system integration time to perform in-depth QoS testing, which can be too late and detrimental to project schedules and costs. This paper describes our novel MDE-based solution to address this challenge. At the core of our solution approach are (1) a set of domainspecific modeling languages that allow us to mimic component “business logic,” and (2) a generative programming framework that synthesizes configuration files for system simulation. A particular thrust of this paper is describing the syntax and semantics of the component behavior modeling language, which are based on the Input/Output automaton formalism. Our experience shows that our techniques enable developers of large-scale component-based systems to perform early QoS evaluation from development time to production time. Moreover, our experience shows we are able to provide an environment where developers can rapidly test ideas and methodologies largely alleviating the need to expend effort, money, and time implementing them.

Index Terms—model-driven system engineering, continuous QoS validation, simulation, timed input/output automata

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Cite: James H. Hill and Aniruddha Gokhale, " Model-driven Engineering for Early QoS Validation of Component-based Software Systems," Journal of Software vol. 2, no. 3, pp. 9-18, 2007.

General Information

ISSN: 1796-217X (Online)
Frequency: Monthly (2006-2019); Bimonthly (Since 2020)
Editor-in-Chief: Prof. Antanas Verikas
Executive Editor: Ms. Yoyo Y. Zhou
Abstracting/ Indexing: DBLP, EBSCO, Google Scholar, ProQuest, INSPEC, ULRICH's Periodicals Directory, WorldCat, etc
E-mail: jsw@iap.org
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