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Understanding decision models - visualization and complexity reduction of software variability

: Forster, Thomas; Muthig, Dirk; Pech, Daniel

Heymans, P. ; Univ. Duisburg:
Second International Workshop on Variability Modelling of Software-intensive Systems, VaMoS 2008. Proceedings : 16.-18.01.2008, Duisburg-Essen
Essen, 2008 (ICB research report 22)
ISSN: 1860-2770
International Workshop on Variability Modelling of Software-Intensive Systems (VaMoS) <2, 2008, Essen>
Conference Paper
Fraunhofer IESE ()
product line; variability management; view; decision model; decision modeller; empirical study

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.