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era, software industries are competing for software quality which depends upon the sound software testing phase. To deliver the quality product the most challenging job for software industry is to localize bugs automatically and fix them before release. One of the techniques for automated bug localization is usage of call graph. Since size of the call graph generated is quite large, various call reduction approaches have been proposed. In this paper a novel approach for call graph reduction has been proposed where the size of the call graph is reduced without changing the basic structure and no major loss of the information is incurred. The output generated using the proposed methodology shows promising results.

A Novel Technique for Call Graph Reduction for Bug Localization