Intelligent radar software defect classification approach based on the latent Dirichlet allocation t...
Intelligent radar software defect classification approach based on the latent Dirichlet allocation topic model
About this item
Full title
Author / Creator
Liu, Xi , Yin, Yongfeng , Li, Haifeng , Chen, Jiabin , Liu, Chang , Wang, Shengli and Yin, Rui
Publisher
Cham: Springer International Publishing
Journal title
Language
English
Formats
Publication information
Publisher
Cham: Springer International Publishing
Subjects
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Scope and Contents
Contents
Existing software intelligent defect classification approaches do not consider radar characters and prior statistics information. Thus, when applying these appaoraches into radar software testing and validation, the precision rate and recall rate of defect classification are poor and have effect on the reuse effectiveness of software defects. To so...
Alternative Titles
Full title
Intelligent radar software defect classification approach based on the latent Dirichlet allocation topic model
Authors, Artists and Contributors
Author / Creator
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Primary Identifiers
Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_9a26bcb275a5450f909f02337cb1dae4
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_9a26bcb275a5450f909f02337cb1dae4
Other Identifiers
ISSN
1687-6180,1687-6172
E-ISSN
1687-6180
DOI
10.1186/s13634-021-00761-3
