American Psychological Association 6th edition

Li, M., Yu, H., Fan, G., Zhou, Z., & Huang, J. (2022). Class Sum: a deep learning model for class-level code summarization. Neural Computing and Applications, 1-21. https://doi.org/10.1007/s00521-022-07877-z

ISO-690 (author-date, English)

LI, Mingchen, YU, Huiqun, FAN, Guisheng, ZHOU, Ziyi und HUANG, Jiawen, 2022. Class Sum: a deep learning model for class-level code summarization. Neural Computing and Applications. 10 Oktober 2022. P. 1-21. DOI 10.1007/s00521-022-07877-z.

Modern Language Association 9th edition

Li, M., H. Yu, G. Fan, Z. Zhou, und J. Huang. „Class Sum: A Deep Learning Model for Class-Level Code Summarization“. Neural Computing and Applications, Oktober 2022, S. 1-21, https://doi.org/10.1007/s00521-022-07877-z.

Mohr Siebeck - Recht (Deutsch - Österreich)

Li, Mingchen/Yu, Huiqun/Fan, Guisheng/Zhou, Ziyi/Huang, Jiawen: Class Sum: a deep learning model for class-level code summarization, Neural Computing and Applications 2022, 1-21.

Emerald - Harvard

Li, M., Yu, H., Fan, G., Zhou, Z. und Huang, J. (2022), „Class Sum: a deep learning model for class-level code summarization“, Neural Computing and Applications, S. 1-21.

Achtung: Diese Zitate sind unter Umständen nicht zu 100% korrekt.