American Psychological Association 6th edition

Zhou, Y., Tang, H., Zhu, L., Ding, H., & Qian, J. (2025). Refining Code-Line-Level Bugginess Identification: Getting the Best of Both Worlds by Fusing Syntactic and Semantic Features. ACM Transactions on Software Engineering & Methodology, 34(3), 1-43. https://doi.org/10.1145/3707456

ISO-690 (author-date, English)

ZHOU, Yufei, TANG, Haihua, ZHU, Longtao, DING, Hao und QIAN, Junyan, 2025. Refining Code-Line-Level Bugginess Identification: Getting the Best of Both Worlds by Fusing Syntactic and Semantic Features. ACM Transactions on Software Engineering & Methodology. 1 März 2025. Vol. 34, no. 3, p. 1-43. DOI 10.1145/3707456.

Modern Language Association 9th edition

Zhou, Y., H. Tang, L. Zhu, H. Ding, und J. Qian. „Refining Code-Line-Level Bugginess Identification: Getting the Best of Both Worlds by Fusing Syntactic and Semantic Features.“. ACM Transactions on Software Engineering & Methodology, Bd. 34, Nr. 3, März 2025, S. 1-43, https://doi.org/10.1145/3707456.

Mohr Siebeck - Recht (Deutsch - Österreich)

Zhou, Yufei/Tang, Haihua/Zhu, Longtao/Ding, Hao/Qian, Junyan: Refining Code-Line-Level Bugginess Identification: Getting the Best of Both Worlds by Fusing Syntactic and Semantic Features., ACM Transactions on Software Engineering & Methodology 2025, 1-43.

Emerald - Harvard

Zhou, Y., Tang, H., Zhu, L., Ding, H. und Qian, J. (2025), „Refining Code-Line-Level Bugginess Identification: Getting the Best of Both Worlds by Fusing Syntactic and Semantic Features.“, ACM Transactions on Software Engineering & Methodology, Vol. 34 No. 3, S. 1-43.

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