FSCS-ART and RRT algorithms evenly spread test cases by enforcing them far apart from one another; as a consequence, some of their test cases are pushed toward ...

They found that the effectiveness of RT can be significantly enhanced by evenly spreading random test cases over the whole input domain. This approach was named ...

They found that the effectiveness of RT can be significantly en- hanced by evenly spreading random test cases over the whole input domain. This approach was ...

Various ART algorithms have been developed to evenly spread test cases in different ways. Previous studies have shown that some ART algorithms prefer to select ...

Results show that ART is highly inefficient even on trivial problems when accounting for distance calculations among test cases, to an extent that probably ...

Intuitively speaking, when the failure pattern is not a point pattern, more evenly spread test cases have a better chance of hitting the failure patterns. Based ...

Oct 1, 2020 · Adaptive random testing (ART) achieves better failure-detection effectiveness than random testing due to its even spreading of test cases.

Adaptive random testing has been proposed to enhance the failure detection capability of random testing by evenly spreading test cases over the whole input ...

Adaptive random testing (ART) improves the failure-detection effectiveness of Random testing (RT) by making test cases more evenly distributed in the input ...

ART makes use of additional criteria to choose inputs as test cases in order to evenly spread test cases over the input domain. One of well-known software ...