American Psychological Association 6th edition

Wu, Y., Chen, Y., Peng, X., Hu, B., Wang, X., Fu, B., & Zhao, W. (2025). Clone Ripples: predicting change propagation between code clone instances by graph-based deep learning. Empirical Software Engineering: An International Journal, 30(1). https://doi.org/10.1007/s10664-024-10567-0

ISO-690 (author-date, English)

WU, Yijian, CHEN, Yuan, PENG, Xin, HU, Bin, WANG, Xiaochen, FU, Baiqiang und ZHAO, Wenyun, 2025. Clone Ripples: predicting change propagation between code clone instances by graph-based deep learning. Empirical Software Engineering: An International Journal. 1 Februar 2025. Vol. 30, no. 1, . DOI 10.1007/s10664-024-10567-0.

Modern Language Association 9th edition

Wu, Y., Y. Chen, X. Peng, B. Hu, X. Wang, B. Fu, und W. Zhao. „Clone Ripples: Predicting Change Propagation Between Code Clone Instances by Graph-Based Deep Learning“. Empirical Software Engineering: An International Journal, Bd. 30, Nr. 1, Februar 2025, https://doi.org/10.1007/s10664-024-10567-0.

Mohr Siebeck - Recht (Deutsch - Österreich)

Wu, Yijian/Chen, Yuan/Peng, Xin/Hu, Bin/Wang, Xiaochen/Fu, Baiqiang u. a.: Clone Ripples: predicting change propagation between code clone instances by graph-based deep learning, Empirical Software Engineering: An International Journal 2025,

Emerald - Harvard

Wu, Y., Chen, Y., Peng, X., Hu, B., Wang, X., Fu, B. und Zhao, W. (2025), „Clone Ripples: predicting change propagation between code clone instances by graph-based deep learning“, Empirical Software Engineering: An International Journal, Vol. 30 No. 1, verfügbar unter:https://doi.org/10.1007/s10664-024-10567-0.

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