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 |
---|---|
Pages | 39-45 |
Number of pages | 7 |
DOIs | |
Publication status | Published - 2013 |
Event | 2013 5th International Conference on Advanced Computer Science and Information Systems, ICACSIS 2013 - Bali, Indonesia Duration: 28 Sept 2013 → 29 Sept 2013 |
Conference
Conference | 2013 5th International Conference on Advanced Computer Science and Information Systems, ICACSIS 2013 |
---|---|
Country/Territory | Indonesia |
City | Bali |
Period | 28/09/13 → 29/09/13 |
Keywords
- Adaptive Random Testing
- Centroid
- Random Testing
- Test Case