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eNauka >  Results >  Software defects prediction by metaheuristics tuned extreme gradient boosting and analysis based on Shapley Additive Explanations
Title: Software defects prediction by metaheuristics tuned extreme gradient boosting and analysis based on Shapley Additive Explanations
Authors: Zivkovic, Tamara  ; Nikolic, Bosko D  ; Simic, Vladimir D  ; Pamucar, Dragan S  ; Bacanin, Nebojsa  
Issue Date: 2023
Publication: APPLIED SOFT COMPUTING
ISSN: 1568-4946 Applied Soft Computing Search Idenfier
Type: Article
Collation: vol. 146 str. 110659-110659
DOI: 10.1016/j.asoc.2023.110659
WoS-ID: 001061973600001
Scopus-ID: 2-s2.0-85167436767
URI: http://ezaposleni.singidunum.ac.rs/rest/sciNaucniRezultati/oai/record/2/10913
http://zaposleni.etf.bg.ac.rs/rest/sciNaucniRezultati/oai/record/2/709167
https://www.sciencedirect.com/science/article/abs/pii/S1568494623006774
http://ezaposleni.singidunum.ac.rs/rest/sciNaucniRezultati/oai/record/2/10035
https://plus.cobiss.net/cobiss/sr/sr/bib/128450569#izum.si
https://enauka.gov.rs/handle/123456789/803026
https://www.sciencedirect.com/science/article/pii/S1568494623006774
URL: https://www.sciencedirect.com/science/article/abs/pii/S1568494623006774?via%3Dihub
Project: AVANTES - Advancing Novel Textual Similarity-Based Solutions in Software Development
Metadata source: (Preuzeto iz Nasi u WoS)
M-category: 
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