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Questionnaire-based Variability Modeling for System Configuration

La Rosa, Marcello, van der Aalst, Wil M.P., Dumas, Marlon, & ter Hofstede, Arthur H.M. (2008) Questionnaire-based Variability Modeling for System Configuration. Software and Systems Modeling, 8(2), pp. 251-274.

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Abstract

Variability management is a recurrent issue in systems engineering. It arises for example in enterprise systems, where modules are configured and composed to meet the requirements of individual customers based on modifications to a reference model. It also manifests itself in the context of software product families, where variants of a system are built from a common code base. This paper proposes an approach to capture system variability based on questionnaire models that include order dependencies and domain constraints. The paper presents analysis techniques to detect circular dependencies and contradictory constraints in questionnaire models, as well as techniques to incrementally prevent invalid configurations by restricting the space of allowed answers to a question based on previous answers. The approach has been implemented as a toolset and has been used in practice to capture configurable process models for film post-production.

Impact and interest:

39 citations in Scopus
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11 citations in Web of Science®

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Full-text downloads:

407 since deposited on 27 Feb 2008
117 in the past twelve months

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ID Code: 12686
Item Type: Journal Article
DOI: 10.1007/s10270-008-0090-3
ISSN: 1619-1374
Subjects: Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > INFORMATION SYSTEMS (080600) > Conceptual Modelling (080603)
Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > INFORMATION SYSTEMS (080600)
Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000)
Divisions: Past > QUT Faculties & Divisions > Faculty of Science and Technology
Copyright Owner: Copyright 2008 Springer
Copyright Statement: The original publication is available at SpringerLink http://www.springerlink.com
Deposited On: 27 Feb 2008
Last Modified: 29 Feb 2012 23:52

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