JSE_V5_N1_RP8 A.K. Malviya N. Badal Journal on Software Engineering 2230 – 7168 5 1 40 44 Data mining, K-Means Clustering Algorithm, Object-Oriented Metrics Object Oriented Software Engineering has been emerging field for software development process. Although maintenance may turn out to be easier for Object Oriented System, it is unlikely that the maintenance burden will be completely disappearing. Still, maintenance consumes a large portion of software development cost. Therefore it is worthwhile to develop Object Oriented System keeping maintainability as a key issue in design phase. This paper examines the role of clustering technique of data mining in maintenance of software system using object oriented metrics. The presented work evaluates the K-means clustering method by applying it to the commercial software system. The experimental work of software maintenance for the sample data is being simulated on Matlab. July - September 2010 Copyright © 2010 i-manager publications. All rights reserved. i-manager Publications http://www.imanagerpublications.com/Article.aspx?ArticleId=1208