Adaptive random testing based on flexible partitioning

Author:

Mao Chengying1ORCID,Zhan Xuzheng1,Chen Jinfu2,Chen Jifu1,Huang Rubing2ORCID

Affiliation:

1. School of Software and IoT EngineeringJiangxi University of Finance and EconomicsNanchang330032People's Republic of China

2. School of Computer Science and Communication EngineeringJiangsu UniversityZhenjiang212013People's Republic of China

Funder

National Natural Science Foundation of China

Publisher

Institution of Engineering and Technology (IET)

Subject

Computer Graphics and Computer-Aided Design

Cited by 4 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. Discovering boundary values of feature-based machine learning classifiers through exploratory datamorphic testing;Journal of Systems and Software;2022-05

2. MMFC-ART: a Fixed-size-Candidate-set Adaptive Random Testing approach based on the modified Metric-Memory tree;2021 IEEE 21st International Conference on Software Quality, Reliability and Security (QRS);2021-12

3. Model of Execution Trace Obfuscation between Threads;IEEE Transactions on Dependable and Secure Computing;2021

4. Adaptive Random Test Case Generation Based on Multi-objective Evolutionary Search;2020 IEEE 19th International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom);2020-12

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