Design and Implementation of an Interactive Test Case Generation (Itcg) for Sequence-Less Strategy

Abstract

Increasing number of input sizes are caused by the exponential growth of test input interaction and create a large input space. The problem examine is needed to do so fast that even the fasted computers require an insufferable amount of time. It limits the ability of computers to solve large input space problems. Only less amount of test case can solve the problem. Since twenty years many useful t-way strategies have been developed to reduce test case size. Deterministic and non-deterministic search strategies are used to design T-way (sequence-less) strategy such as, High level Hyper Heuristic (HHH), Harmony Search Strategy (HSS),Cuckoo Search Strategy (CSS),Particle Swarm Test Generator (PSTG), Simulated Annealing (SA), Genetic Algorithm (GA), Ant Colony Algorithm (ACA), Bat-Inspired t-way Strategy (BTS), Late Acceptance Hill Climbing (LAHC), Nie Implementation of GA (GA-N), Automatic Efficient Test Generator (AETG), Modified Automatic Efficient Test Generator (mAETG), In Parameter Order General (IPOG), Test Vector Generator (TVG), Generalized T-Way Test Suite Generator (GTWay), Density, para order etc. Sequence-less strategy indicates the inputs are taken as parameterized. From the literature it is found that the T-way strategy for sequenceless input interaction is an NP-hard problem. So no one can get optimum solution for every combination of system configuration. In this research an algorithm is proposed and implemented to enhance the T-way input interaction test strategy (sequence-less). To check the effectiveness, the proposed algorithm is compared with the other renown deterministic and non-deterministic search based T-way strategies. The result help to show that the strategy (for sequence-less input interaction) able to generate feasible results and minimize the number of test cases compared with other strategies.