MMFC-ART: a Fixed-size-Candidate-set Adaptive Random Testing approach based on the modified Metric-Memory tree-Reference-Cited by-同舟云学术

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MMFC-ART: a Fixed-size-Candidate-set Adaptive Random Testing approach based on the modified Metric-Memory tree

Published:2021-12 Issue: Volume: Page:
ISSN:
Container-title:2021 IEEE 21st International Conference on Software Quality, Reliability and Security (QRS)
language:
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Author:

Chen Jinfu¹,Wu Yiming¹,Mao Chengying²,Chen Tsong Yueh³,Chen Haibo¹

Affiliation:

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

2. School of Software and IoT Engineering, Jiangxi University of Finance and Economics,Nanchang,China,330013

3. Swinburne University of Technology,Department of Computer Science and Software Engineering,Hawthorn,Australia,3122

Funder

National Natural Science Foundation of China

China Postdoctoral Science Foundation

Postdoctoral Science Foundation of Jiangsu Province

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9724650/9724651/09724871.pdf?arnumber=9724871

Reference39 articles.

1. Enhancing mirror adaptive random testing through dynamic partitioning

2. Code Coverage of Adaptive Random Testing

3. Evolutionary algorithms for the multi-objective test data generation problem

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. DiPri : Distance-based Seed Prioritization for Greybox Fuzzing;ACM Transactions on Software Engineering and Methodology;2024-03-26

2. DiPri: Distance-Based Seed Prioritization for Greybox Fuzzing (Registered Report);Proceedings of the 2nd International Fuzzing Workshop;2023-07-17

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