| Title | An empirical comparison of automated generation and classification techniques for object-oriented unit testing |
| Publication Type | Conference Paper |
| Year of Publication | 2006 |
| Authors | d'Amorim M, Pacheco C, Marinov D, Xie T, Ernst MD |
| Conference Name | ASE 2006: Proceedings of the 21st Annual International Conference on Automated Software Engineering |
| Pagination | 59–68 |
| Date or Month Published | September |
| Conference Location | Tokyo, Japan |
| Abstract | Testing involves two major activities: generating test inputs and determining whether they reveal faults. Automated test generation techniques include random generation and symbolic execution. Automated test classification techniques include ones based on uncaught exceptions and violations of operational models inferred from manually provided tests. Previous research on unit testing for object-oriented programs developed three pairs of these techniques: model-based random testing, exception-based random testing, and exception-based symbolic testing. We develop a novel pair, model-based symbolic testing. We also empirically compare all four pairs of these generation and classification techniques. The results show that the pairs are complementary (i.e., reveal faults differently), with their respective strengths and weaknesses. |
| Downloads | https://homes.cs.washington.edu/~mernst/pubs/testgen-ase2006.pdf PDF
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| Citation Key | dAmorimPMXE2006 |
