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MD-ART: a test case generation method without test oracle problem
| Content Provider | ACM Digital Library |
|---|---|
| Author | Huang, Song Hui, Zhan-Wei |
| Abstract | Adaptive random testing (ART), as an improved random testing method, preserves the advantages of traditional random test method and overcomes the blindness of traditional random testing method. But it is usually not easy to validate the correctness of the output, except for some special test cases. In other words, the test oracle problem is unresolved. In this research, we introduced metamorphic testing (MT) and metamorphic distance into ART, which is called metamorphic distance based ART (MD-ART) to provide the test oracle. The results of primary experiment results show that MD-ART performs better than traditional MT and ART not only in test effectiveness but also in test efficiency and test coverage. . |
| Starting Page | 27 |
| Ending Page | 34 |
| Page Count | 8 |
| File Format | |
| ISBN | 9781450345101 |
| DOI | 10.1145/2975954.2975959 |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 2016-09-03 |
| Publisher Place | New York |
| Access Restriction | Subscribed |
| Subject Keyword | Metamorphic testing Test case Metamorphic relation Adaptive random test |
| Content Type | Text |
| Resource Type | Article |
