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2011 26th IEEE/ACM International Conference on Automated Software Engineering (ASE 2011) (2011)
Lawrence, KS, USA
Nov. 6, 2011 to Nov. 10, 2011
ISBN: 978-1-4577-1638-6
pp: 173-182
Istvan Rath , Department of Measurement and Information Systems, Budapest University of Technology and Economics, Hungary
Abel Hegedus , Department of Measurement and Information Systems, Budapest University of Technology and Economics, Hungary
Daniel Varro , Department of Measurement and Information Systems, Budapest University of Technology and Economics, Hungary
Akos Horvath , Department of Measurement and Information Systems, Budapest University of Technology and Economics, Hungary
ABSTRACT
Design space exploration (DSE) aims at searching through various models representing different design candidates to support activities like configuration design of critical systems or automated maintenance of IT systems. In model-driven engineering, DSE is applied to find instance models that are (i) reachable from an initial model with a sequence of transformation rules and (ii) satisfy a set of structural and numerical constraints. Since exhaustive exploration of the design space is infeasible for large models, the traversal is often guided by hints, derived by system analysis, to prioritize the next states to traverse (selection criteria) and to avoid searching unpromising states (cut-off criteria). In this paper, we define an exploration approach where selection and cut-off criteria are defined using dependency analysis of transformation rules and an algebraic abstraction. The approach is evaluated against other exploration techniques and illustrated on a cloud infrastructure configuration problem.
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CITATION
Istvan Rath, Abel Hegedus, Daniel Varro, Akos Horvath, "A model-driven framework for guided design space exploration", 2011 26th IEEE/ACM International Conference on Automated Software Engineering (ASE 2011), vol. 00, no. , pp. 173-182, 2011, doi:10.1109/ASE.2011.6100051
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