American Psychological Association 6th edition

Shang, X., Fu, Z., Cheng, S., Chen, G., Li, G., Hu, L., Zhang, W., & Yu, N. (2026). An empirical study on the effectiveness of large language models for binary code understanding. Empirical Software Engineering: An International Journal, 31(1). https://doi.org/10.1007/s10664-025-10748-5

ISO-690 (author-date, English)

SHANG, Xiuwei, FU, Zhenkan, CHENG, Shaoyin, CHEN, Guoqiang, LI, Gangyang, HU, Li, ZHANG, Weiming und YU, Nenghai, 2026. An empirical study on the effectiveness of large language models for binary code understanding. Empirical Software Engineering: An International Journal. 1 Februar 2026. Vol. 31, no. 1, . DOI 10.1007/s10664-025-10748-5.

Modern Language Association 9th edition

Shang, X., Z. Fu, S. Cheng, G. Chen, G. Li, L. Hu, W. Zhang, und N. Yu. „An Empirical Study on the Effectiveness of Large Language Models for Binary Code Understanding“. Empirical Software Engineering: An International Journal, Bd. 31, Nr. 1, Februar 2026, https://doi.org/10.1007/s10664-025-10748-5.

Mohr Siebeck - Recht (Deutsch - Österreich)

Shang, Xiuwei/Fu, Zhenkan/Cheng, Shaoyin/Chen, Guoqiang/Li, Gangyang/Hu, Li u. a.: An empirical study on the effectiveness of large language models for binary code understanding, Empirical Software Engineering: An International Journal 2026,

Emerald - Harvard

Shang, X., Fu, Z., Cheng, S., Chen, G., Li, G., Hu, L., Zhang, W. und Yu, N. (2026), „An empirical study on the effectiveness of large language models for binary code understanding“, Empirical Software Engineering: An International Journal, Vol. 31 No. 1, verfügbar unter:https://doi.org/10.1007/s10664-025-10748-5.

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