IPOG Modified Design Technique for Effective Testing

Abstract

Software testing is a very crucial, effective and efficient stage in Software Development Life Cycle. As Customers satisfaction and reliability is very essential, this can be achieved by testing phase. The cost can be reduced when testing time is decreased. Hence, combinatorial method is a very effective and well-proved method where high quality of software can be delivered with less time. It is very exhaustive and hard phase to check all the combination of the input parameters given to authenticate the proper functioning of software system before delivering. Many issues are triggered in an application by the interaction of one or more parameters. Hence it is significant to check all the combination of N or fewer parameters in all N-way combinational input. This way of combinatorial testing will yield high guarantee software system such that all the faults have been discovered effectively. Manual Testing of this type of combinatorial inputs is impossible so there are few standard algorithms such as IPOG-C later defined as IPOGD, etc. In this paper, we are presenting the performance of Combinatorial Testing Technique called IPOG-Modified Design method with the IPOGD Technique and Manual way of test case generation. The results are evaluated for N-way combinational inputs of seven parameters. Evaluation of results shows that the IPOG-Modified Design Technique yields better performance than the IPOGD Technique and manual technique for the same input data set. Over all the IPOGD and IPOGMD Combinatorial testing methods can reduce cost, improves efficiency in software testing for numerous applications.