Analyzing Partition Testing Strategies
IEEE Transactions on Software Engineering
On the Relationship Between Partition and Random Testing
IEEE Transactions on Software Engineering
Art of Software Testing
Proportional sampling strategy: a compendium and some insights
Journal of Systems and Software
Engineering Software Under Statistical Quality Control
IEEE Software
ECSQ '02 Proceedings of the 7th International Conference on Software Quality
A Domain Strategy for Computer Program Testing
IEEE Transactions on Software Engineering
Proceedings of the 20th IEEE/ACM international Conference on Automated software engineering
Lattice-based adaptive random testing
Proceedings of the 20th IEEE/ACM international Conference on Automated software engineering
Object distance and its application to adaptive random testing of object-oriented programs
Proceedings of the 1st international workshop on Random testing
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)
Automatic test data generation using particle systems
Proceedings of the 2008 ACM symposium on Applied computing
ARTOO: adaptive random testing for object-oriented software
Proceedings of the 30th international conference on Software engineering
Distributing test cases more evenly in adaptive random testing
Journal of Systems and Software
Deriving parameter characteristics
Proceedings of the 2nd India software engineering conference
Adaptive Random Testing: The ART of test case diversity
Journal of Systems and Software
Partition testing with dynamic partitioning
COMPSAC-W'05 Proceedings of the 29th annual international conference on Computer software and applications conference
Fuzzing the out-of-memory killer on embedded Linux: an adaptive random approach
Proceedings of the 2011 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 with restriction
ICFEM'05 Proceedings of the 7th international conference on Formal Methods and Software Engineering
ASIAN'04 Proceedings of the 9th Asian Computing Science conference on Advances in Computer Science: dedicated to Jean-Louis Lassez on the Occasion of His 5th Cycle Birthday
Adaptive random testing by bisection and localization
FATES'05 Proceedings of the 5th international conference on Formal Approaches to Software Testing
Software—Practice & Experience
CarFast: achieving higher statement coverage faster
Proceedings of the ACM SIGSOFT 20th International Symposium on the Foundations of Software Engineering
An orchestrated survey of methodologies for automated software test case generation
Journal of Systems and Software
PathART: path-sensitive adaptive random testing
Proceedings of the 5th Asia-Pacific Symposium on Internetware
Automated cookie collection testing
ACM Transactions on Software Engineering and Methodology (TOSEM)
Diversity oriented test data generation using metaheuristic search techniques
Information Sciences: an International Journal
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Adaptive Random Testing (ART) describes a family of algorithms for generating random test cases that have been experimentally demonstrated to have greater fault-detection capacity than simple random testing. We outline and demonstrate two new ART algorithms, and demonstrate experimentally that they offer similar performance advantages, with considerably lower overhead than other ART algorithms.