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Rapid and robust impact assessment of software changes in large internet-based services.

S. Zhang, Y. Liu, D. Pei, Y. Chen, X. Qu, S. Tao, and Z. Zang. CoNEXT, page 2:1-2:13. ACM, (2015)

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Zhang Zhang

Meng Zhang

Methods and implementations of road-network matchingM. Zhang. TU München, (2009)

Shuying Zhang

Fuqing Zhang

Xinming Zhang

Other publications of authors with the same name

LogSummary: Unstructured Log Summarization for Software Systems.W. Meng, F. Zaiter, Y. Zhang, Y. Liu, S. Zhang, S. Tao, Y. Zhu, T. Han, Y. Zhao, E. Wang and 2 other author(s). IEEE Trans. Netw. Serv. Manag., 20 (3): 3803-3815 (September 2023)Online malicious domain name detection with partial labels for large-scale dependable systems.Y. Sun, K. Jian, L. Cui, G. Jiang, S. Zhang, Y. Zhang, and D. Pei. J. Syst. Softw., (2022)CMDiagnostor: An Ambiguity-Aware Root Cause Localization Approach Based on Call Metric Data.Q. Yu, C. Pei, B. Hao, M. Li, Z. Li, S. Zhang, X. Lu, R. Wang, J. Li, Z. Wu and 1 other author(s). WWW, page 2937-2947. ACM, (2023)Efficient Multivariate Time Series Anomaly Detection Through Transfer Learning for Large-Scale Web Services.Y. Sun, M. Liang, Z. Che, D. Li, T. Zheng, S. Zhang, P. Zhu, Y. Zhang, and D. Pei. ICWS, page 145-151. IEEE, (2023)Diagnosing Root Causes of Intermittent Slow Queries in Large-Scale Cloud Databases.M. Ma, Z. Yin, S. Zhang, S. Wang, C. Zheng, X. Jiang, H. Hu, C. Luo, Y. Li, N. Qiu and 3 other author(s). Proc. VLDB Endow., 13 (8): 1176-1189 (2020)An Empirical Analysis of Anomaly Detection Methods for Multivariate Time Series.D. Li, S. Zhang, Y. Sun, Y. Guo, Z. Che, S. Chen, Z. Zhong, M. Liang, M. Shao, M. Li and 3 other author(s). ISSRE, page 57-68. IEEE, (2023)Robust KPI Anomaly Detection for Large-Scale Software Services with Partial Labels.S. Zhang, C. Zhao, Y. Sui, Y. Su, Y. Sun, Y. Zhang, D. Pei, and Y. Wang. ISSRE, page 103-114. IEEE, (2021)Effective Attribute Selection for Multi-dimensional Root Cause Analysis.Y. Cheng, B. Cheng, P. Jin, Y. Sun, X. Nie, N. Zhao, S. Zhang, and D. Pei. ISSRE, page 321-331. IEEE, (2022)Jump-Starting Multivariate Time Series Anomaly Detection for Online Service Systems.M. Ma, S. Zhang, J. Chen, J. Xu, H. Li, Y. Lin, X. Nie, B. Zhou, Y. Wang, and D. Pei. USENIX Annual Technical Conference, page 413-426. USENIX Association, (2021)Rapid Deployment of Anomaly Detection Models for Large Number of Emerging KPI Streams.J. Bu, Y. Liu, S. Zhang, W. Meng, Q. Liu, X. Zhu, and D. Pei. IPCCC, page 1-8. IEEE, (2018)

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Disambiguation of "Zhang, Shenglin"

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Rapid and robust impact assessment of software changes in large internet-based services.

Please choose a person to relate this publication to

Zhang Zhang

Meng Zhang

Shuying Zhang

Fuqing Zhang

Xinming Zhang

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Zhang, Shenglin"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Rapid and robust impact assessment of software changes in large internet-based services.

Please choose a person to relate this publication to

Zhang Zhang

Meng Zhang

Shuying Zhang

Fuqing Zhang

Xinming Zhang

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Rapid and robust impact assessment of software changes in large internet-based services.