TCG A Model-based Testing Tool for Functional and Statistical Testing

摘要

Model-based testing (MBT) is an approach that takes software specification as the base for the formal model creation and, from it, enables the test case extraction. Depending on the type of model, an MBT tool can support functional and statistical tests. However, there are few tools that support both testing techniques. Moreover, the ones that support them offer a limited number of coverage criteria. This paper presents TCG, a tool for the generation and selection of functional and statistical test cases. It provides 8 classic generation techniques and 5 selection heuristics, including a novel one called minimum probability of path.