Abstract
A variant of Adaptive Random Testing (ART) called Centroid Based Adaptive Random Testing (CB-ART) has been developed. It aims to improve efficiency of ART which was claimed to have better performance than Random Testing (RT) in finding first error in a program. CB-ART is applying the concept of centroid for test case selection process. The technique for generating and computing centroid from a pool of input objects is the novelty of CB-ART. The experiment results show that our approach can generate 792.38% (near 8 times) more test cases than ARTGen and 108% more test cases than RANDOOP. Although capable in producing more test cases, the effectiveness of CB-ART is equal or higher than ARTGen and RANDOOP in some cases. We claim that our technique is able to generate high quality test case with shorter generation time.
| Original language | English |
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| Title of host publication | ICACSIS 2013 |
| Subtitle of host publication | 2013 International Conference on Advanced Computer Science and Information Systems |
| Place of Publication | Piscataway, NJ |
| Publisher | Institute of Electrical and Electronics Engineers (IEEE) |
| Pages | 39-45 |
| Number of pages | 7 |
| ISBN (Electronic) | 9789791421195 |
| DOIs | |
| Publication status | Published - 2013 |
| Externally published | Yes |
| Event | 2013 5th International Conference on Advanced Computer Science and Information Systems, ICACSIS 2013 - Bali, Indonesia Duration: 28 Sep 2013 → 29 Sep 2013 |
Other
| Other | 2013 5th International Conference on Advanced Computer Science and Information Systems, ICACSIS 2013 |
|---|---|
| Country | Indonesia |
| City | Bali |
| Period | 28/09/13 → 29/09/13 |
Keywords
- random testing
- Adaptive Random Testing
- centroid
- test case