An Efficient Approach for Test Suite Reduction using Density based Clustering Technique

Abstract

Density based clustering technique groups similar data objects based on density. In this paper, a methodology has been proposed based on density based clustering technique in order to remove redundant test cases so that time wasted in testing unnecessary test cases can be reduced. Experiments show that how our technique can significantly reduced test suite.