@inproceedings{848048b83d744d8da32113f489f64cb5,
title = "Enhanced random testing for programs with high dimensional input domains",
abstract = "Random Testing (RT) is a fundamental technique of software testing. Adaptive Random Testing (ART) has recently been developed as an enhancement of RT that has better fault detection effectiveness. Several methods (algorithms) have been developed to implement ART. In most ART algorithms, however, the above enhancement diminishes when the dimensionality of the input domain increases. In this paper, we investigate the nature of failure regions in high dimensional input domains and propose enhanced random testing algorithms that improve the fault detection effectiveness of RT in high dimensional input domains.",
author = "Kuo, \{F. C.\} and Sim, \{K. Y.\} and Sun, \{Chang Ai\} and Tang, \{S. F.\} and Zhou, \{Zhi Quan\}",
year = "2007",
language = "English",
isbn = "9781627486613",
series = "19th International Conference on Software Engineering and Knowledge Engineering, SEKE 2007",
pages = "135--140",
booktitle = "19th International Conference on Software Engineering and Knowledge Engineering, SEKE 2007",
note = "19th International Conference on Software Engineering and Knowledge Engineering, SEKE 2007 ; Conference date: 09-07-2007 Through 11-07-2007",
}