z-logo
open-access-imgOpen Access
Mutation Operator Reduction for Cost-effective Deep Learning Software Testing via Decision Boundary Change Measurement
Author(s) -
Li-Chao Feng Li-Chao Feng,
Xing-Ya Wang Li-Chao Feng,
Shi-Yu Zhang Xing-Ya Wang,
Rui-Zhi Gao Shi-Yu Zhang,
Zhi-Hong Zhao Rui-Zhi Gao
Publication year - 2022
Publication title -
wǎngjì wǎnglù jìshù xuékān
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.231
H-Index - 22
eISSN - 2079-4029
pISSN - 1607-9264
DOI - 10.53106/160792642022052303018
Subject(s) - computer science , mutation , mutation testing , software , operator (biology) , artificial intelligence , mutant , reduction (mathematics) , machine learning , programming language , mathematics , genetics , biology , geometry , repressor , gene , transcription factor

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here