Abstract
Mesh simplification programs create three-dimensional polygonal models similar to an original polygonal model, and yet use fewer polygons. They produce different graphics even though they are based on the same original polygonal model. This results in a test oracle problem. To address the problem, our previous work has developed a technique that uses a reference model of the program under test to train a classifier. Using such an approach may mistakenly mark a failure-causing test case as passed. It lowers the testing effectiveness of revealing failures. This paper suggests piping the test cases marked as passed by a statistical pattern classification module to an analytical metamorphic testing (MT) module. We evaluate our approach empirically using three subject programs with over 2700 program mutants. The result shows that, using a resembling reference model to train a classifier, the integrated approach can significantly improve the failure detection effectiveness of the pattern classification approach. We also explain how MT in our design trades specificity for sensitivity.
Original language | English |
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Pages (from-to) | 89-120 |
Number of pages | 32 |
Journal | Software Testing Verification and Reliability |
Volume | 20 |
Issue number | 2 |
DOIs | |
Publication status | Published - 1 Jun 2010 |
Externally published | Yes |
Keywords
- Classification
- Mesh simplification
- Metamorphic testing
- Non-testable software
- Test oracle problem
- Testing methodology
ASJC Scopus subject areas
- Software
- Safety, Risk, Reliability and Quality