Preference-Based Multi-objective Software Modelling
In 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.
M. W. Mkaouer et al., "Preference-Based Multi-objective Software Modelling," Proceedings of the 1st International Workshop on Combining Modelling and Search-Based Software Engineering, CMSBSE 2013, pp. 61-66, Institute of Electrical and Electronics Engineers (IEEE) Computer Society, Jan 2013.
The definitive version is available at https://doi.org/10.1109/CMSBSE.2013.6605712
1st International Workshop on Combining Modelling and Search-Based Software Engineering, CMSBSE 2013 (2013: May 20, San Francisco, CA)
Keywords and Phrases
Evolutionary Computation; Modelling; Multi-Objective Optimization; Search-Based Software Engineering; User-Preferences
International Standard Book Number (ISBN)
Article - Conference proceedings
© 2013 Institute of Electrical and Electronics Engineers (IEEE) Computer Society, All rights reserved.
01 Jan 2013