A hybrid input - output based relation test suite generation strategy

Abstract

The cause of large enumeration space the systemized sample test data have the active research to meet t-way testing strategies during the previous 20 years Hence that (t) indicates to interaction strength Despite of usefulness, the adoption of existing t-way strategies in the software lacks to be used among engineering community According to a survey on existing t-way strategies, that uniform t-way interactions are dictated whereas variable strength interaction are imposed in some strategies input-output based relationships there also strategies that prescribe interactions Improving the applicability and upgrading the existing t-way strategies adoption there is a requirement for a strategy which is more flexible and is capable to engage all form of possibilities of interaction. The test engineer (as domain experts) should be having the chance to select from various interaction possibilities in this regard, test engineer can be prepared to generate their creative-ambling relying on the testing problem Not until recently a number of strategies have set out to have appeared (e.g. Density, ParaOrder and TVG). However, as t-way test suite generation is considered as NP had problem, no existing strategy can dominance as far as test size of optimality size is concerned. The Motivation of the aforementioned challenge this study will present t-way strategy which is called ITTSG that can support all possibilities of interaction includes input output based relationship further of the t – way test suite has been tested in application.