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 Sept 2013 → 29 Sept 2013 |
Other
Other | 2013 5th International Conference on Advanced Computer Science and Information Systems, ICACSIS 2013 |
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Country/Territory | Indonesia |
City | Bali |
Period | 28/09/13 → 29/09/13 |
Keywords
- random testing
- Adaptive Random Testing
- centroid
- test case