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Travelled to:
1 × China
1 × Germany
1 × Switzerland
2 × USA
Collaborated with:
D.Zhang T.Xie H.Zhang S.Han Q.Lin Y.Tao S.Kim R.Wu P.Nobel S.Ge X.He R.Ding Q.Wang Q.Fu H.Zhang J.Wang K.Chen X.Wang L.Zhang E.Lan H.Mei H.Z.0002 Y.Xu J.Lou R.Yao M.Chintalapati J.Chen D.Hao F.Gao Z.Xu K.Hsieh K.Sui C.Li Y.Wu X.Zhang B.Qiao C.Xie X.Yang Q.Cheng Z.Li J.C.0003 F.Shen
Talks about:
larg (3) code (3) softwar (2) cluster (2) system (2) servic (2) stack (2) scale (2) mine (2) data (2)

Person: Yingnong Dang

DBLP DBLP: Dang:Yingnong

Contributed to:

VLDB 20152015
MSR 20132013
ASE 20122012
CSEE&T 20122012
FSE 20122012
ICSE 20122012
ESEC/FSE 20182018
ASE 20192019
ESEC/FSE 20192019

Wrote 10 papers:

VLDB-2015-DingWDFZZ #clustering #named #performance #scalability
YADING: Fast Clustering of Large-Scale Time Series Data (RD, QW, YD, QF, HZ, DZ), pp. 473–484.
MSR-2013-WangDZCXZ #api #mining #source code
Mining succinct and high-coverage API usage patterns from source code (JW, YD, HZ, KC, TX, DZ), pp. 319–328.
ASE-2012-WangD0ZLM #question
Can I clone this piece of code here? (XW, YD, LZ, DZ, EL, HM), pp. 170–179.
CSEET-2012-ZhangDHX #education
Teaching and Training for Software Analytics (DZ, YD, SH, TX), p. 92.
FSE-2012-TaoDXZK #case study #how #industrial
How do software engineers understand code changes?: an exploratory study in industry (YT, YD, TX, DZ, SK), p. 51.
ICSE-2012-DangWZZN #clustering #named #similarity #stack
ReBucket: A method for clustering duplicate crash reports based on call stack similarity (YD, RW, HZ, DZ, PN), pp. 1084–1093.
ICSE-2012-HanDGZX #debugging #in the large #mining #performance #stack
Performance debugging in the large via mining millions of stack traces (SH, YD, SG, DZ, TX), pp. 145–155.
ESEC-FSE-2018-LinHDZSXLLWYCZ #predict
Predicting Node failure in cloud service systems (QL, KH, YD, HZ0, KS, YX, JGL, CL, YW, RY, MC, DZ), pp. 480–490.
ASE-2019-ChenHLZHGXDZ #online #scalability
Continuous Incident Triage for Large-Scale Online Service Systems (JC, XH, QL, HZ, DH, FG, ZX, YD, DZ), pp. 364–375.
ESEC-FSE-2019-ZhangXLQZDXYCLC #detection #robust
Robust log-based anomaly detection on unstable log data (XZ, YX, QL, BQ, HZ0, YD, CX, XY, QC, ZL, JC0, XH, RY, JGL, MC, FS, DZ), pp. 807–817.

Bibliography of Software Language Engineering in Generated Hypertext (BibSLEIGH) is created and maintained by Dr. Vadim Zaytsev.
Hosted as a part of SLEBOK on GitHub.