Zozas, I., Bibi, S. und Ampatzoglou, A. (2023) „Forecasting the Principal of Code Technical Debt in Java Script Applications“, IEEE Transactions on Software Engineering, Software Engineering, IEEE Transactions on, IIEEE Trans. Software Eng, 49(4), S. 2498-2512. doi:10.1109/TSE.2022.3222318.
Chicago Manual of Style 17th edition (full note)Zozas, I., S. Bibi, und A. Ampatzoglou. „Forecasting the Principal of Code Technical Debt in Java Script Applications“. IEEE Transactions on Software Engineering, Software Engineering, IEEE Transactions On, IIEEE Trans. Software Eng 49, Nr. 4 (1. April 2023): 2498-2512. https://doi.org/10.1109/TSE.2022.3222318.
American Psychological Association 7th editionZozas, I., Bibi, S., & Ampatzoglou, A. (2023). Forecasting the Principal of Code Technical Debt in Java Script Applications. IEEE Transactions on Software Engineering, Software Engineering, IEEE Transactions On, IIEEE Trans. Software Eng., 49(4), 2498-2512. https://doi.org/10.1109/TSE.2022.3222318
Modern Language Association 9th editionZozas, I., S. Bibi, und A. Ampatzoglou. „Forecasting the Principal of Code Technical Debt in Java Script Applications“. IEEE Transactions on Software Engineering, Software Engineering, IEEE Transactions On, IIEEE Trans. Software Eng., Bd. 49, Nr. 4, April 2023, S. 2498-12, https://doi.org/10.1109/TSE.2022.3222318.
ISO-690 (author-date, Deutsch)ZOZAS, I., S. BIBI und A. AMPATZOGLOU, 2023. Forecasting the Principal of Code Technical Debt in Java Script Applications. IEEE Transactions on Software Engineering, Software Engineering, IEEE Transactions on, IIEEE Trans. Software Eng.. 1 April 2023. Bd. 49, Nr. 4, S. 2498-2512. DOI 10.1109/TSE.2022.3222318