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  4. Understanding decision models - visualization and complexity reduction of software variability
 
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2008
Conference Paper
Titel

Understanding decision models - visualization and complexity reduction of software variability

Abstract
With the increasing size and complexity of software systems also the amount of software variability grows. In this paper we present decision models as a means of dealing with software variability and views on decision models that are supposed to make the large amount of variability manageable. Also some mechanisms for supporting the process of decision modelling and resolving decision models are introduced. In a final experiment we evaluate the presented views and process support mechanisms.
Author(s)
Forster, Thomas
Muthig, Dirk
Pech, Daniel
Hauptwerk
Second International Workshop on Variability Modelling of Software-intensive Systems, VaMoS 2008. Proceedings
Konferenz
International Workshop on Variability Modelling of Software-Intensive Systems (VaMoS) 2008
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Language
English
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Fraunhofer-Institut für Experimentelles Software Engineering IESE
Tags
  • product line

  • variability management

  • view

  • decision model

  • decision modeller

  • empirical study

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