Software defects prediction by metaheuristics tuned extreme gradient boosting and analysis based on Shapley Additive Explanations

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Naziv:	Software defects prediction by metaheuristics tuned extreme gradient boosting and analysis based on Shapley Additive Explanations
Autori:	Zivkovic, Tamara ; Nikolic, Bosko D ; Simic, Vladimir D ; Pamucar, Dragan S ; Bacanin, Nebojsa
Godina:	2023
Publikacija:	APPLIED SOFT COMPUTING
ISSN:	1568-4946 Applied Soft Computing Pretraži identifikator
Tip rezultata:	Naučni članak
Kolacija:	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
Projekat:	AVANTES - Advancing Novel Textual Similarity-Based Solutions in Software Development
Izvor metapodataka:	(Preuzeto iz Nasi u WoS)
M-kategorija:	21aM21a - Vodeći međunarodni časopis kategorije M21a

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