Application of Clustering Methods for Analysing of TTCN-3 Test Data Quality

The use of the standardised testing notation, testing and test control notation (TTCN-3) language has increased continuously over the last years. Many test suites of large sizes covering different domains exist. Therefore, it becomes important to provide the TTCN-3 community with methods and tools to evaluate the quality of tests. This paper presents the idea of evaluating the quality of the test data stimuli by using a data clustering method and measuring the coverage related to data clusters. A cluster contains stimuli which are considered similar for the system under test (SUT) behaviour; that means that each stimuli within a cluster should provide similar results from the test point of view.