Article (Scientific journals)
Test Input Prioritization for Machine Learning Classifiers
DANG, Xueqi; LI, Yinghua; PAPADAKIS, Mike et al.
2024In IEEE Transactions on Software Engineering, 50 (3), p. 413 - 442
Peer Reviewed verified by ORBi
 

Files


Full Text
2024_TSE_MLPrior.pdf
Publisher postprint (1.54 MB)
Download

All documents in ORBilu are protected by a user license.

Send to



Details



Disciplines :
Computer science
Author, co-author :
DANG, Xueqi   ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SerVal
LI, Yinghua   ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > TruX
PAPADAKIS, Mike  ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SerVal
KLEIN, Jacques  ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > TruX
BISSYANDE, Tegawendé François d Assise  ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > TruX
LE TRAON, Yves ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT)
 These authors have contributed equally to this work.
External co-authors :
no
Language :
English
Title :
Test Input Prioritization for Machine Learning Classifiers
Publication date :
05 January 2024
Journal title :
IEEE Transactions on Software Engineering
ISSN :
0098-5589
eISSN :
1939-3520
Publisher :
Institute of Electrical and Electronics Engineers Inc.
Volume :
50
Issue :
3
Pages :
413 - 442
Peer reviewed :
Peer Reviewed verified by ORBi
Focus Area :
Computational Sciences
European Projects :
H2020 - 949014 - NATURAL - Natural Program Repair
FnR Project :
FNR17036341 - Towards Improving The Robustness Of Graph Neural Network Models: An Empirical Study, 2022 (01/08/2022-31/07/2025) - Xueqi Dang
Funders :
Luxembourg National Research Fund AFR PhD
European Research Council
Luxembourg National Research Funds
Union Européenne
Funding number :
AFR PhD 17036341; C20/IS/14761415/TestFlakes; H2020 - 949014 - NATURAL
Available on ORBilu :
since 18 October 2024

Statistics


Number of views
100 (6 by Unilu)
Number of downloads
44 (1 by Unilu)

Scopus citations®
 
10
Scopus citations®
without self-citations
4
OpenCitations
 
0
OpenAlex citations
 
13
WoS citations
 
8

Bibliography


Similar publications



Contact ORBilu