Title

Preference-Based Multi-objective Software Modelling

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.


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