Bagheri, A., & Hegedűs, P. (2024). Towards a Block-Level ML-Based Python Vulnerability Detection Tool. Acta Cybernetica, 26(3), 323-371. https://doi.org/10.14232/actacyb.299667
ISO-690 (author-date, English)BAGHERI, Amirreza und HEGEDŰS, Péter, 2024. Towards a Block-Level ML-Based Python Vulnerability Detection Tool. Acta Cybernetica. 1 Januar 2024. Vol. 26, no. 3, p. 323-371. DOI 10.14232/actacyb.299667.
Modern Language Association 9th editionBagheri, A., und P. Hegedűs. „Towards a Block-Level ML-Based Python Vulnerability Detection Tool.“. Acta Cybernetica, Bd. 26, Nr. 3, Januar 2024, S. 323-71, https://doi.org/10.14232/actacyb.299667.
Mohr Siebeck - Recht (Deutsch - Österreich)Bagheri, Amirreza/Hegedűs, Péter: Towards a Block-Level ML-Based Python Vulnerability Detection Tool., Acta Cybernetica 2024, 323-371.
Emerald - HarvardBagheri, A. und Hegedűs, P. (2024), „Towards a Block-Level ML-Based Python Vulnerability Detection Tool.“, Acta Cybernetica, Vol. 26 No. 3, S. 323-371.