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Travelled to:
1 × China
1 × Germany
1 × Italy
4 × USA
Collaborated with:
D.Zhang Q.Lin Q.Fu R.Ding H.Zhang T.Xie H.Z.0002 S.Yang J.Li B.Wu H.Zhou H.Lin H.Lin T.Qin F.Lv S.Wang J.Zhao S.He M.R.Lyu C.Sun H.Zhang Q.Wang S.Khoo C.Luo Z.Wang J.Shen Y.Dang Y.Xu R.Yao M.Chintalapati K.Hsieh K.Sui C.Li Y.Wu X.Zhang B.Qiao C.Xie X.Yang Q.Cheng Z.Li J.C.0003 X.He F.Shen
Talks about:
system (4) servic (4) log (4) data (3) understand (2) softwar (2) program (2) analysi (2) onlin (2) incid (2)

Person: Jian-Guang Lou

DBLP DBLP: Lou:Jian=Guang

Contributed to:

ICSE 20152015
FSE 20142014
KDD 20142014
ASE 20132013
MSR 20132013
ASE 20122012
KDD 20102010
ASE 20152015
ESEC/FSE 20182018
ESEC/FSE 20192019

Wrote 11 papers:

ICSE-v2-2015-ZhouLZLLQ #big data #empirical #framework #platform #quality
An Empirical Study on Quality Issues of Production Big Data Platform (HZ, JGL, HZ, HL, HL, TQ), pp. 17–26.
FSE-2014-SunZLZWZK #query #re-engineering
Querying sequential software engineering data (CS, HZ, JGL, HZ, QW, DZ, SCK), pp. 700–710.
KDD-2014-LuoLLFDZW #correlation
Correlating events with time series for incident diagnosis (CL, JGL, QL, QF, RD, DZ, ZW), pp. 1583–1592.
ASE-2013-LouLDFZX #case study #experience #online
Software analytics for incident management of online services: An experience report (JGL, QL, RD, QF, DZ, TX), pp. 475–485.
MSR-2013-FuLLDZX #analysis #behaviour #comprehension
Contextual analysis of program logs for understanding system behaviors (QF, JGL, QL, RD, DZ, TX), pp. 397–400.
ASE-2012-DingFLLZSX #mining #online #repository
Healing online service systems via mining historical issue repositories (RD, QF, JGL, QL, DZ, JS, TX), pp. 318–321.
KDD-2010-LouFYLW #mining #workflow
Mining program workflow from interleaved traces (JGL, QF, SY, JL, BW), pp. 613–622.
ASE-2015-LvZLWZZ #api #code search #comprehension #effectiveness #named
CodeHow: Effective Code Search Based on API Understanding and Extended Boolean Model (E) (FL, HZ, JGL, SW, DZ, JZ), pp. 260–270.
ESEC-FSE-2018-HeLLZLZ #analysis #identification #problem
Identifying impactful service system problems via log analysis (SH, QL, JGL, HZ0, MRL, DZ), pp. 60–70.
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.
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.
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