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Finding Building Blocks for Software Clustering
Kiarash Mahdavi, Mark Harman, and Robert Hierons
Department of Information Systems and Computing
Brunel University
Uxbridge, Middlesex, UB8 3PH
kiarash.mahdavi@brunel.ac.uk
Abstract. It is generally believed that good modularization of software leads to systems which are easier to design, develop, test, maintain and evolve [1].
Software clustering using search-based techniques has been well studied using a hill climbing approach [2,4,5,6]. Hill climbing suffers from the problem of local optima, so some improvement may be expected by by considering more sophisticated search-based techniques. However, hitherto, the use of other techniques to overcome this problem such as Genetic Algorithms (GA) [3] and Simulated Annealing [7] have been disappointing.
This poster paper looks at the possibility of using results from multiple hill climbs to form a basis for subsequent search. The findings will be presented in the poster created for the poster session in GECCO 2003.
LNCS 2724, p. 2513 ff.
lncs@springer.de
© Springer-Verlag Berlin Heidelberg 2003