The basic principle of ART is to enforce randomly selected test cases as evenly spread over the input domain as possible. Many ART methods have been proposed to ...
This study proposes to add a filtering process of inputs into FSCS-ART to achieve a more even-spread of test cases and better failure detection ...
In this paper, we conduct a comprehensive investigation on test case distributions of various ART methods. Our work shows many interesting aspects related to ...
The VU Research Repository (previously known as VUIR) is an open access repository that contains the research papers and theses of VU staff and higher ...
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 ...
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This thesis proposes two new measurements to evaluate the performance of ART, which are also correlated to the even spread of test cases, ...
Adaptive random testing (ART) subsumes a family of random testing techniques that are designed to be more effective than pure random testing.
Our simulations and empirical results show that the newly proposed algorithms not only improve the evenness of test case distribution, but also enhance the ...
The basic intuition of ART is to evenly spread random test cases over the whole input domain. This thesis investigates a number of topics about such an “even ...
In contrast, Adaptive. Random Testing (ART) ensures the randomness and even distribution of test cases throughout the entire input domain, making it "adaptive".