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Software testing relates to the process of accessing the functionality of aprogram against some defined specifications. To ensure conformance, testengineers often generate a set of test cases to validate against the userrequirements.  Owing to the growing complexity of software and its increasing diffusion intovarious application domains, it is no longer unusual for a software project tohave testing teams in more than one location or even distributed over manycontinents. Owing to the intertwined dependencies of many software developmentactivities and their geographical and temporal issues, there are potentiallymany overlapping test cases which can cause unwarranted redundancies across theshared modules (i.e. a test for one requirement may be covered by more than onetest).  In this paper, we explore the application of our newly developedhyperheuristic, called Fuzzy Inference Selection (FIS), for addressing testredundancy reduction problem. This paper presents the supplementary results forthe paper : An Experimental Study of Hyper-Heuristic Selection and AcceptanceMechanism for Combinatorial t way Test Suite Generation published inInformation Sciences.

Supplementary Material for the Information Sciences Paper: An  Experimental Study of Hyper-Heuristic Selection and Acceptance Mechanism for  Combinatorial t-way Test Suite Generation