Preference-Based Multi-objective Software ModellingProceedings of the 1st International Workshop on Combining Modelling and Search-Based Software Engineering, CMSBSE 2013
AbstractIn this paper, we propose the use of preference-based evolutionary multi-objective optimization techniques (P-EMO) to address various software modelling challenges. P-EMO allows the incorporation of decision maker (i.e., designer) preferences (e.g., quality, correctness, etc.) in multi-objective optimization techniques by restricting the Pareto front to a region of interest easing the decision making task. We discuss the different challenges and potential benefits of P-EMO in software modelling. We report experiments on the use of P-EMO on a well-known modeling problem where very promising results are obtained.
Meeting Name1st International Workshop on Combining Modelling and Search-Based Software Engineering, CMSBSE 2013 (2013: May 20, San Francisco, CA)
Keywords and Phrases
- Evolutionary Computation,
- Multi-Objective Optimization,
- Search-Based Software Engineering,
International Standard Book Number (ISBN)9781467362849
Document TypeArticle - Conference proceedings
Rights© 2013 Institute of Electrical and Electronics Engineers (IEEE) Computer Society, All rights reserved.
Citation InformationMohamed W. Mkaouer, Marouane Kessentini, Slim Bechikh and Daniel R. Tauritz. "Preference-Based Multi-objective Software Modelling" Proceedings of the 1st International Workshop on Combining Modelling and Search-Based Software Engineering, CMSBSE 2013 (2013) p. 61 - 66
Available at: http://works.bepress.com/daniel-tauritz/56/