Realizing Robustness Testing Based on TTCN-3

Robustness refers to the ability to ensure the software system execute correctly under normal or abnormal conditions in software testing. Robustness testing needs a large number of illegal and effective inputs, which are one of the key researches. The data variance is based on mutation testing, which is a kind of white box testing through destructing the system under test for robustness testing. The variance data is a kind of determining the robustness by applying some interference to the test input to create abnormal data which is then used to the system under test. Because TTCN-3 is used for black box testing, it can get the data rule description from the system under test. The data variance is also used by TTCN-3 testing. Therefore, the automatic generation of robust illegal inputs is realized on the basis of the data variance in this paper.