Preference-Based Multi-objective Software Modelling

被引：0

作者：

Mkaouer, Mohamed W. ^{[1
]}

Kessentini, Marouane ^{[1
]}

Bechikh, Slim ^{[2
]}

Tauritz, Daniel R. ^{[1
]}

机构：

[1] Missouri Univ Sci & Technol, Dept Comp Sci, Rolla, MO 65409 USA

[2] Univ Tunis, SOIE Lab, Tunis, Tunisia

来源：

2013 1ST INTERNATIONAL WORKSHOP ON COMBINING MODELLING AND SEARCH-BASED SOFTWARE ENGINEERING (CMSBSE) | 2013年

关键词：

Search-based software engineering; multi-objective optimization; user-preferences; modelling; evolutionary computation; TRANSFORMATION;

D O I：

暂无

中图分类号：

TP31 [计算机软件];

学科分类号：

081202 ; 0835 ;

摘要：

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.

引用

页码：61 / 66

页数：6

共 21 条

[1]

Adra SF, 2007, LECT NOTES COMPUT SC, V4403, P908

[2] The r-Dominance: A New Dominance Relation for Interactive Evolutionary Multicriteria Decision Making [J].

Ben Said, Lamjed ;

Bechikh, Slim ;

Ghedira, Khaled .

IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION, 2010, 14 (05) :801-818

[3] Feature-based survey of model transformation approaches [J].

Czarnecki, K. ;

Helsen, S. .

IBM SYSTEMS JOURNAL, 2006, 45 (03) :621-645

[4]

Deb Kalyanmoy, 2012, Search Based Software Engineering. Proceedings of the 4th International Symposium (SSBSE 2012), P1, DOI 10.1007/978-3-642-33119-0_1

[5]

Deb K., 2010, MULTIOBJECTIVE OPTIM

[6] Guest Editorial: Special Issue on Preference-Based Multiobjective Evolutionary Algorithms [J].