Skip to main content
Article
Preference-Based Multi-objective Software Modelling
Proceedings of the 1st International Workshop on Combining Modelling and Search-Based Software Engineering, CMSBSE 2013
  • Mohamed W. Mkaouer
  • Marouane Kessentini, Missouri University of Science and Technology
  • Slim Bechikh
  • Daniel R. Tauritz, Missouri University of Science and Technology
Abstract
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.
Meeting Name
1st International Workshop on Combining Modelling and Search-Based Software Engineering, CMSBSE 2013 (2013: May 20, San Francisco, CA)
Department(s)
Computer Science
Keywords and Phrases
  • Evolutionary Computation,
  • Modelling,
  • Multi-Objective Optimization,
  • Search-Based Software Engineering,
  • User-Preferences
International Standard Book Number (ISBN)
9781467362849
Document Type
Article - Conference proceedings
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2013 Institute of Electrical and Electronics Engineers (IEEE) Computer Society, All rights reserved.
Publication Date
1-1-2013
Disciplines
Citation Information
Mohamed 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/