Summary of SWFC-ART: A Cost-effective Approach for Fixed-Size-Candidate-Set Adaptive Random Testing through Small World Graphs-Reference-Cited by-同舟云学术

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Summary of SWFC-ART: A Cost-effective Approach for Fixed-Size-Candidate-Set Adaptive Random Testing through Small World Graphs

Published:2022-04 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE Conference on Software Testing, Verification and Validation (ICST)
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Author:

Ashfaq Muhammad¹,Huang Rubing¹,Towey Dave²,Omari Michael³,Yashunin Dmitry⁴,Kudjo Patrick Kwaku⁵,Zhang Tao⁶

Affiliation:

1. School of Computer Science and Communication Engineering, Jiangsu University,Zhenjiang,Jiangsu,China,212013

2. School of Computer Science, University of Nottingham Ningbo China,Ningbo,Zhejiang,China,315100

3. Takoradi Technical University,Department of Computer Science,Western Region,Ghana,23321

4. Harman X,Nizhny Novgorod Oblast,Russia,603105

5. University of Professional Studies,Greater Accra Region,Ghana,00233

6. Macau University of Science and Technology,Faculty of Information Technology,Taipa, Macau,China,999078

Funder

National Natural Science Foundation of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9787816/9787817/09787832.pdf?arnumber=9787832

Reference4 articles.

1. Efficient and Robust Approximate Nearest Neighbor Search Using Hierarchical Navigable Small World Graphs

2. SWFC-ART: A cost-effective approach for Fixed-Size-Candidate-Set Adaptive Random Testing through small world graphs

3. A Survey on Adaptive Random Testing

4. Adaptive Random Testing

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