ISO-690 (author-date, English)

GE, Xiuting, FANG, Chunrong, LI, Xuanye, SUN, Weisong, WU, Daoyuan, ZHAI, Juan, LIN, Shang-Wei, ZHAO, Zhihong, LIU, Yang und CHEN, Zhenyu, 2025. Machine Learning for Actionable Warning Identification: A Comprehensive Survey. ACM Computing Surveys. 1 Februar 2025. Vol. 57, no. 2, p. 1-35. DOI 10.1145/3696352.

Elsevier - Harvard (with titles)

Ge, X., Fang, C., Li, X., Sun, W., Wu, D., Zhai, J., Lin, S.-W., Zhao, Z., Liu, Y., Chen, Z., 2025. Machine Learning for Actionable Warning Identification: A Comprehensive Survey. ACM Computing Surveys 57, 1-35. https://doi.org/10.1145/3696352

American Psychological Association 7th edition

Ge, X., Fang, C., Li, X., Sun, W., Wu, D., Zhai, J., Lin, S.-W., Zhao, Z., Liu, Y., & Chen, Z. (2025). Machine Learning for Actionable Warning Identification: A Comprehensive Survey. ACM Computing Surveys, 57(2), 1-35. https://doi.org/10.1145/3696352

Springer - Basic (author-date)

Ge X, Fang C, Li X, Sun W, Wu D, Zhai J, Lin S-W, Zhao Z, Liu Y, Chen Z (2025) Machine Learning for Actionable Warning Identification: A Comprehensive Survey.. ACM Computing Surveys 57:1-35. https://doi.org/10.1145/3696352

Juristische Zitierweise (Stüber) (Deutsch)

Ge, Xiuting/ Fang, Chunrong/ Li, Xuanye/ Sun, Weisong/ Wu, Daoyuan/ Zhai, Juan/ Lin, Shang-Wei/ Zhao, Zhihong/ Liu, Yang/ Chen, Zhenyu, Machine Learning for Actionable Warning Identification: A Comprehensive Survey., ACM Computing Surveys 2025, 1-35.

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