Crepe Complete: Multi-objective Optimization for Your Models
نویسندگان
چکیده
Search-based software engineering views software development as a process of searching through the design space for an optimal solution according to some quality criteria. It seems natural to try and build automated implementations of this idea based on concepts from model-driven engineering—using meta-models as characterisations of design spaces and model transformations as algorithms / heuristics for the exploration of the design space. Yet, there is only very limited research in this area. In this paper, we contribute to the discussion in two ways: 1) we provide an extension of Crepe, a framework for singleobjective optimisation based on the Epsilon tool set, to support multiobjective optimisation, and 2) we present an experimental comparison between a multi-objective optimisation problem implemented in the extended Crepe and the same problem implemented in native Java using an optimised internal representation of the search space and of solution candidates. The experiment highlights key areas of improvement required in Crepe to enable it to fully compete with bespoke implementations.
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