Personal Information
Entreprise/Lieu de travail
Hong Kong, Hong Kong S.A.R. Hong Kong
Profession
Associate Prof.
Secteur d’activité
Education
Site Web
www.cse.ust.hk/~hunkim
À propos
Sung is an associate professor at the Hong Kong University of Science and Technology. He was a post-doc at the Program Analysis Group at MIT. He received his Ph.D. (thesis: Adaptive Bug Prediction By Analyzing Software History) in the Computer Science Department at the University of California, Santa Cruz. He has worked for Nara Vision Co. Ltd which is one of the leading Internet software companies in Korea for six years as a CTO. His research area is Software Engineering, focusing on software evolution, repository data mining, development social network mining, program analysis, and empirical studies. His chief research interest is programmer productivity, in particular, identifying faults
Mots-clés
defect prediction
deeplearning
software testing
fse
hkust
crash
software engineering
developers
icse2011
deep api
tensorflow
machinelearning
tensorboard
software evolution
debugging
stackoverflow
machine learning
commit
msr
bug fault localization
sna
survey
changes
software development process
tao
intelligence code search engine
instant code search
tossing
bug triage
kenyon
dsn2011
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Présentations
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Présentations
(45)
Tout voir
J’aime
(81)
Tout voir
TinyBERT
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•
il y a 3 ans
작고 빠른 딥러닝 그리고 Edge computing
StellaSeoYeonYang
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•
il y a 5 ans
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•
il y a 5 ans
[224]nsml 상상하는 모든 것이 이루어지는 클라우드 머신러닝 플랫폼
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•
il y a 5 ans
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•
il y a 5 ans
Generative adversarial networks
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•
il y a 6 ans
CNN 초보자가 만드는 초보자 가이드 (VGG 약간 포함)
Lee Seungeun
•
il y a 5 ans
강화 학습 기초 Reinforcement Learning an introduction
Taehoon Kim
•
il y a 6 ans
Paper Reading : Enriching word vectors with subword information(2016)
정훈 서
•
il y a 6 ans
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•
il y a 6 ans
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•
il y a 6 ans
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•
il y a 11 ans
부동산 텔레그램 봇
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•
il y a 6 ans
Explanation on Tensorflow example -Deep mnist for expert
홍배 김
•
il y a 6 ans
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•
il y a 6 ans
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•
il y a 7 ans
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il y a 6 ans
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台灣資料科學年會
•
il y a 7 ans
Synchronise your data between MySQL and MongoDB
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•
il y a 9 ans
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•
il y a 10 ans
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•
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il y a 7 ans
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•
il y a 7 ans
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•
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Evaluating the Usefulness of IR-Based Fault LocalizationTechniques
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CS, NcState
•
il y a 8 ans
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•
il y a 9 ans
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University of Zurich
•
il y a 9 ans
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•
il y a 11 ans
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•
il y a 10 ans
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•
il y a 9 ans
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•
il y a 9 ans
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•
il y a 9 ans
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•
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•
il y a 9 ans
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•
il y a 9 ans
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il y a 9 ans
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il y a 13 ans
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•
il y a 10 ans
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•
il y a 10 ans
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•
il y a 10 ans
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•
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•
il y a 11 ans
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azaraskin
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il y a 12 ans
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•
il y a 13 ans
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Thomas Zimmermann
•
il y a 15 ans
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•
il y a 14 ans
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•
il y a 14 ans
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•
il y a 15 ans
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garr
•
il y a 14 ans
How Developer Communication Frequency Relates to Bug Introducing Changes
Rahul Premraj
•
il y a 13 ans
Seminar on Software Testing
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•
il y a 13 ans
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Personal Information
Entreprise/Lieu de travail
Hong Kong, Hong Kong S.A.R. Hong Kong
Profession
Associate Prof.
Secteur d’activité
Education
Site Web
www.cse.ust.hk/~hunkim
À propos
Sung is an associate professor at the Hong Kong University of Science and Technology. He was a post-doc at the Program Analysis Group at MIT. He received his Ph.D. (thesis: Adaptive Bug Prediction By Analyzing Software History) in the Computer Science Department at the University of California, Santa Cruz. He has worked for Nara Vision Co. Ltd which is one of the leading Internet software companies in Korea for six years as a CTO. His research area is Software Engineering, focusing on software evolution, repository data mining, development social network mining, program analysis, and empirical studies. His chief research interest is programmer productivity, in particular, identifying faults
Mots-clés
defect prediction
deeplearning
software testing
fse
hkust
crash
software engineering
developers
icse2011
deep api
tensorflow
machinelearning
tensorboard
software evolution
debugging
stackoverflow
machine learning
commit
msr
bug fault localization
sna
survey
changes
software development process
tao
intelligence code search engine
instant code search
tossing
bug triage
kenyon
dsn2011
Tout plus