YANG, Deheng, LIU, Kui, LEI, Yan, LI, Li, XIE, Huan, LIU, Chunyan, WANG, Zhenyu, MAO, Xiaoguang und BISSYANDE, Tegawendé François d Assise, 2024. Demystifying API misuses in deep learning applications. Empirical Software Engineering, 29 (2) (2024-03. 1 Januar 2024. DOI 10.1007/s10664-023-10413-9.
Elsevier - Harvard (with titles)Yang, D., Liu, K., Lei, Y., Li, L., Xie, H., Liu, C., Wang, Z., Mao, X., BISSYANDE, T.F. d A., 2024. Demystifying API misuses in deep learning applications. Empirical Software Engineering, 29 (2) (2024-03. https://doi.org/10.1007/s10664-023-10413-9
American Psychological Association 7th editionYang, D., Liu, K., Lei, Y., Li, L., Xie, H., Liu, C., Wang, Z., Mao, X., & BISSYANDE, T. F. d A. (2024). Demystifying API misuses in deep learning applications. Empirical Software Engineering, 29 (2) (2024-03. https://doi.org/10.1007/s10664-023-10413-9
Springer - Basic (author-date)Yang D, Liu K, Lei Y, Li L, Xie H, Liu C, Wang Z, Mao X, BISSYANDE TF d A (2024) Demystifying API misuses in deep learning applications. Empirical Software Engineering, 29 (2) (2024-03. https://doi.org/10.1007/s10664-023-10413-9
Juristische Zitierweise (Stüber) (Deutsch)Yang, Deheng/ Liu, Kui/ Lei, Yan/ Li, Li/ Xie, Huan/ Liu, Chunyan/ Wang, Zhenyu/ Mao, Xiaoguang/ BISSYANDE, Tegawendé François d Assise, Demystifying API misuses in deep learning applications, Empirical Software Engineering, 29 (2) (2024-03 2024.