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Test case generation techniques based on isolation forest algorithms

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成果类型:
期刊论文
作者:
He, Chen;Yang, Xiaohua;Li, Meng;Yan, Shiyu
通讯作者:
Li, Meng(mlemon@usc.edu.cn)
作者机构:
[He, Chen] School of Computer Science and Technology, University of South China, Hunan, Hengyang
421001, China
[Yang, Xiaohua; Li, Meng; Yan, Shiyu] CNNC Key Laboratory on High Trusted Computing, Computer School, University of South China, Hunan, Hengyang, China
[He, Chen] 421001, China
语种:
英文
期刊:
Proceedings of SPIE - The International Society for Optical Engineering
ISSN:
0277-786X
年:
2022
卷:
12331
机构署名:
本校为第一机构
院系归属:
计算机科学与技术学院
摘要:
Test cases are the key to software testing, and it is particularly important to generate and select test cases that detect faults more quickly.This paper first analyses the characteristics and applicability of typical ART, then combines the isolation forest algorithm with ART, proposes a test case generation technique for IForest-ART, and compares the fault detection effects of typical distance-based ART and IForest-ART in low to high dimensions.The experimental results show that the test validity of IForest-ART in high-dimensional input domain...

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