Agile metamorphic model-based testing

Autor: Mikael Lindvall, Kristján Valur Jónsson, Sigurthor Bjorgvinsson, Haukur Steinn Logason, Frederik Dietrich, Robert E. Wiegand, Dharmalingam Ganesan
Rok vydání: 2016
Předmět:
Zdroj: MET@ICSE
DOI: 10.1145/2896971.2896979
Popis: Testing becomes difficult when we cannot easily determine whether the system delivers the correct result or not. To address this issue, we have developed a framework for automated testing of NASA's DAT system using metamorphic testing principles combined with model based testing. Based on the results from using the framework to test DAT we have determined that this is a cost beneficial solution allowing for comprehensive testing that detects defects without having to develop complex testing infrastructure to determine the oracle. In our approach, DAT queries are automatically generated from a set of metamorphic testing models where each model encodes one or more of the identified equivalences. In addition, we use a scheme for generating time stamps that we use to automatically create time pairs that add another equivalence dimension.
Databáze: OpenAIRE