TY - GEN
T1 - On the relationships between the distribution of failure-causing inputs and effectiveness of adaptive random testing
AU - Chen, Tsong Yueh
AU - Kuo, Fei Ching
AU - Zhou, Zhi Quan
PY - 2005
Y1 - 2005
N2 - Recently, adaptive random testing (ART) has been developed to enhance the fault-detection effectiveness of random testing (RT). It has been known in generalities that the fault-detection effectiveness of ART depends on the distribution of failure-causing inputs, yet this understanding is in coarse terms without precise details. In this paper, we conduct an in-depth investigation into the factors that have an impact on the fault-detection effectiveness of ART, This paper gives a comprehensive analysis of the favourable conditions for ART and. hence, provides a guideline for testers to decide when to use ART instead of RT.
AB - Recently, adaptive random testing (ART) has been developed to enhance the fault-detection effectiveness of random testing (RT). It has been known in generalities that the fault-detection effectiveness of ART depends on the distribution of failure-causing inputs, yet this understanding is in coarse terms without precise details. In this paper, we conduct an in-depth investigation into the factors that have an impact on the fault-detection effectiveness of ART, This paper gives a comprehensive analysis of the favourable conditions for ART and. hence, provides a guideline for testers to decide when to use ART instead of RT.
UR - https://www.scopus.com/pages/publications/84886873509
M3 - Conference contribution
AN - SCOPUS:84886873509
SN - 9781627486590
T3 - 17th International Conference on Software Engineering and Knowledge Engineering, SEKE 2005
SP - 306
EP - 311
BT - 17th International Conference on Software Engineering and Knowledge Engineering, SEKE 2005
T2 - 17th International Conference on Software Engineering and Knowledge Engineering, SEKE 2005
Y2 - 14 July 2005 through 16 July 2005
ER -