Automatic path-oriented test data generation by boundary hypercuboids

Designing test cases and generating data are very important phases in software engineering these days. in order to generate test data, some generators such as random test data generators, data specification generators and path-oriented (path-wise) test data generators are employed. one of the most important problems in the path-oriented test data generator is the lack of attention given to discovering faults by the test data. in this paper an approach is proposed to generate some test data automatically so that we can realize the goal of discovering more faults in less time. the number of faults near the boundaries of the input domain is more than the center, according to the pareto 80–20 principle the test data of this approach will be generated at 20% of the allowable area boundary. to do this, we extracted the boundary hypercuboids and then the test data will be generated by exploiting these hypercuboids. the experimental results show that the fault detection probability and the fault detection speed are improved significantly, compared with the previous approaches. by generating data in this way, more faults are discovered in a short period of time which makes it more possible to deliver products on time