Agile metamorphic model-based testing
Autor: | Mikael Lindvall, Kristján Valur Jónsson, Sigurthor Bjorgvinsson, Haukur Steinn Logason, Frederik Dietrich, Robert E. Wiegand, Dharmalingam Ganesan |
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Rok vydání: | 2016 |
Předmět: |
Model-based testing
Computer science 020207 software engineering Software performance testing 02 engineering and technology computer.software_genre Oracle Keyword-driven testing 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Test Management Approach Software reliability testing Metamorphic testing Data mining computer Real-time testing |
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 |
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