Enhancing partition testing through output variation

Abstract

A major test case generation approach is to divide the input domain into disjoint partitions, from which test cases can be selected. However, we observe that in some traditional approaches to partition testing, the same partition may be associated with different output scenarios. Such an observation implies that the partitioning of the input domain may not be precise enough for effective software fault detection. To solve this problem, partition testing should be fine-tuned to additionally use the information of output scenarios in test case generation, such that these test cases are more fine-grained not only with respect to the input partitions but also from the perspective of output scenarios.