NDLI: Placement of Entities in Object-Oriented Systems by Means of a Single-Objective Genetic Algorithm

Content Provider	IEEE Xplore Digital Library
Author	Basdavanos, M. Chatzigeorgiou, A.
Copyright Year	2010
Abstract	Behavior and state allocation in object-oriented systems is a rather non-trivial task that is hard to master and automate since it is guided by conceptual criteria and therefore relies on human expertise. Since attributes and methods can be placed in the classes of a system in uncountable different ways, the task can be regarded as a search space exploration problem. In this paper we present our experience from treating this issue by a genetic algorithm, which in contrast to previous approaches, is aiming at single-objective optimization. The fitness function is based on a novel metric which ensures that optimization improves both coupling and cohesion. The approach has been implemented as an Eclipse plugin allowing the effortless experimentation on any system. The evaluation results indicate that the problem is suitable for single-objective genetic algorithms and that an optimal or near-optimal solution can be obtained within reasonable time.
Starting Page	70
Ending Page	75
File Size	386741
Page Count	6
File Format	PDF
ISBN	9781424477883
DOI	10.1109/ICSEA.2010.18
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-08-22
Publisher Place	France
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Biological cells Couplings Measurement Gallium Resource management Optimization Software genetic algorithm object-oriented design coupling cohesion
Content Type	Text
Resource Type	Article

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