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| Content Provider | ACM Digital Library |
|---|---|
| Author | Lindvall, Mikael Wiegand, Robert E. Logason, Haukur Steinn Ganesan, Dharmalingam Dietrich, Frederik Bjorgvinsson, Sigurthor Jonsson, Kristjan |
| Abstract | 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. |
| Starting Page | 26 |
| Ending Page | 32 |
| Page Count | 7 |
| File Format | |
| ISBN | 9781450341639 |
| DOI | 10.1145/2896971.2896979 |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 2016-05-14 |
| Publisher Place | New York |
| Access Restriction | Subscribed |
| Subject Keyword | Metamorphic testing Model-based testing Agile development |
| Content Type | Text |
| Resource Type | Article |
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