Is adaptive random testing really better than random testing
Proceedings of the 1st international workshop on Random testing
Adaptive random testing with randomly translated failure region
Proceedings of the 1st international workshop on Random testing
An empirical analysis and comparison of random testing techniques
Proceedings of the 2006 ACM/IEEE international symposium on Empirical software engineering
Adaptive random testing through iterative partitioning revisited
Proceedings of the 3rd international workshop on Software quality assurance
Adaptive random testing by balancing
Proceedings of the 2nd international workshop on Random testing: co-located with the 22nd IEEE/ACM International Conference on Automated Software Engineering (ASE 2007)
Distributing test cases more evenly in adaptive random testing
Journal of Systems and Software
Enhanced lattice-based adaptive random testing
Proceedings of the 2009 ACM symposium on Applied Computing
Adaptive random testing through iterative partitioning
Ada-Europe'06 Proceedings of the 11th Ada-Europe international conference on Reliable Software Technologies
Adaptive random testing by bisection and localization
FATES'05 Proceedings of the 5th international conference on Formal Approaches to Software Testing
PathART: path-sensitive adaptive random testing
Proceedings of the 5th Asia-Pacific Symposium on Internetware
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Based on the intuition that widely spread test cases should have greater chance of hitting the non-point failure-causing regions, several Adaptive Random Testing (ART) methods have recently been proposed to improve traditional Random Testing (RT). However, most of the ART methods require additional distance computations to ensure an even spread of test cases. In this paper, we introduce the concept of localization that can be integrated with some ART methods to reduce the distance computation overheads. By localization, test cases would be selected from part of the input domain instead of the whole input domain, and distance computation would be done for some instead of all previous test cases. Our empirical results show that the fault detecting capability of our method is comparable to those of other ART methods.