Personal Information
Organización/Lugar de trabajo
Hong Kong, Hong Kong S.A.R. Hong Kong
Ocupación
Associate Prof.
Sector
Education
Sitio web
www.cse.ust.hk/~hunkim
Acerca de
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
Etiquetas
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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Presentaciones
(45)
Ver todo
Recomendaciones
(81)
Ver todo
TinyBERT
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작고 빠른 딥러닝 그리고 Edge computing
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강화 학습 기초 Reinforcement Learning an introduction
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Lean Analytics
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공짜 경제에서 어떻게 돈을 버는가?(How to Make Money in Free Economy)
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[1주차] 알파 유저를 위한 AWS 스터디
Amazon Web Services Korea
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AWS Summit Seoul 2015 - 모바일 및 IoT 환경을 위한 AWS 클라우드 플랫폼의 진화 (윤석찬, Markku Lepisto)
Amazon Web Services Korea
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Continous UI testing with Espresso and Jenkins
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Evaluating the Usefulness of IR-Based Fault LocalizationTechniques
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[IoT] MAKE with Open H/W + Node.JS - 1st
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Spark overview 이상훈(SK C&C)_스파크 사용자 모임_20141106
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Hace 8 años
Known Unknowns: Testing in the Presence of Uncertainty (talk at ACM SIGSOFT FSE 2014 Visions & Challenges Track)
David Rosenblum
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How Google Works
Eric Schmidt
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논문 잘 읽는 법
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Jonathon Colman
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Daum’s Business Analytics Use-cases based on Bigdata technology (2012)
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What Would Steve Do? 10 Lessons from the World's Most Captivating Presenters
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The Zen of Scrum
Jurgen Appelo
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스크럼, 이걸 왜 하나요
Insub Lee
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Automated Debugging: Are We There Yet?
Alex Orso
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KAIST 후배들을 위한 유학에 관한 이야기
Sang-il Oum
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[홍순성]보다 쉽게 찾는 나만의 정리법
@hongss
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Whither Software Engineering Research? (keynote talk at APSEC 2012)
David Rosenblum
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David Notkin
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SSBSE 2012 Keynote
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Pier Luca Lanzi
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ICSE 2011 Research Paper on Refactorings and Bug Fixes
miryung
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azaraskin
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Hace 12 años
Debugging Debugging
CISPA Helmholtz Center for Information Security
•
Hace 13 años
Mining Software Archives to Support Software Development
Thomas Zimmermann
•
Hace 15 años
Of Code and Change: Beautiful Software
Michele Lanza
•
Hace 14 años
My Top 10 slides on presentations
Alexei Kapterev
•
Hace 14 años
Death by PowerPoint
Alexei Kapterev
•
Hace 15 años
Brain Rules for Presenters
garr
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How Developer Communication Frequency Relates to Bug Introducing Changes
Rahul Premraj
•
Hace 13 años
Seminar on Software Testing
Beat Fluri
•
Hace 13 años
Got Myth? Myths in Software Engineering
Thomas Zimmermann
•
Hace 15 años
Presentaciones
(45)
Ver todo
Recomendaciones
(81)
Ver todo
TinyBERT
Hoon Heo
•
Hace 3 años
작고 빠른 딥러닝 그리고 Edge computing
StellaSeoYeonYang
•
Hace 3 años
NLP Deep Learning with Tensorflow
seungwoo kim
•
Hace 5 años
Tensorflow for Deep Learning(SK Planet)
Tae Young Lee
•
Hace 5 años
[224]nsml 상상하는 모든 것이 이루어지는 클라우드 머신러닝 플랫폼
NAVER D2
•
Hace 5 años
Linear algebra
Sungbin Lim
•
Hace 5 años
Generative adversarial networks
남주 김
•
Hace 6 años
CNN 초보자가 만드는 초보자 가이드 (VGG 약간 포함)
Lee Seungeun
•
Hace 5 años
강화 학습 기초 Reinforcement Learning an introduction
Taehoon Kim
•
Hace 6 años
Paper Reading : Enriching word vectors with subword information(2016)
정훈 서
•
Hace 6 años
One-Shot Learning
Jisung Kim
•
Hace 6 años
지적 대화를 위한 깊고 넓은 딥러닝 PyCon APAC 2016
Taehoon Kim
•
Hace 6 años
Introduction to Amazon Web Services
Amazon Web Services
•
Hace 11 años
부동산 텔레그램 봇
HoChul Shin
•
Hace 6 años
Explanation on Tensorflow example -Deep mnist for expert
홍배 김
•
Hace 6 años
NDC 2016 김정주 - 기계학습을 활용한 게임어뷰징 검출
정주 김
•
Hace 6 años
Caffe framework tutorial2
Park Chunduck
•
Hace 7 años
기계학습 / 딥러닝이란 무엇인가
Yongha Kim
•
Hace 6 años
Google TensorFlow Tutorial
台灣資料科學年會
•
Hace 7 años
Synchronise your data between MySQL and MongoDB
Giuseppe Maxia
•
Hace 9 años
[123] quality without qa
NAVER D2
•
Hace 7 años
깃헙으로 코드리뷰 하기
Ohgyun Ahn
•
Hace 10 años
코드 리뷰 시스템 소개
Young-Ho Cha
•
Hace 7 años
Introduce Docker
Yongbok Kim
•
Hace 7 años
Slides for the day-long Lean Analytics workshop at the 2014 Lean Startup conference
Lean Analytics
•
Hace 8 años
공짜 경제에서 어떻게 돈을 버는가?(How to Make Money in Free Economy)
Sangkyu Rho
•
Hace 7 años
[1주차] 알파 유저를 위한 AWS 스터디
Amazon Web Services Korea
•
Hace 7 años
AWS Summit Seoul 2015 - 모바일 및 IoT 환경을 위한 AWS 클라우드 플랫폼의 진화 (윤석찬, Markku Lepisto)
Amazon Web Services Korea
•
Hace 7 años
Continous UI testing with Espresso and Jenkins
Sylwester Madej
•
Hace 7 años
Evaluating the Usefulness of IR-Based Fault LocalizationTechniques
Alex Orso
•
Hace 7 años
Open Source 그리고 git과 github, code review
Minsuk Lee
•
Hace 7 años
AWS 클라우드 기반 확장성 높은 천만 사용자 웹 서비스 만들기 - 윤석찬
Amazon Web Services Korea
•
Hace 7 años
스타트업에서 기술책임자로 살아가기
Hyun-woo Park
•
Hace 8 años
Welcome to ICSE NIER’15 (new ideas and emerging results).
CS, NcState
•
Hace 7 años
[IoT] MAKE with Open H/W + Node.JS - 2nd
Park Jonggun
•
Hace 7 años
[IoT] MAKE with Open H/W + Node.JS - 1st
Park Jonggun
•
Hace 7 años
Requirements Engineering
CS, NcState
•
Hace 7 años
Node.js 기본
Han Jung Hyun
•
Hace 9 años
Towards Mining Software Repositories Research that Matters
Tao Xie
•
Hace 8 años
Spark overview 이상훈(SK C&C)_스파크 사용자 모임_20141106
SangHoon Lee
•
Hace 8 años
Known Unknowns: Testing in the Presence of Uncertainty (talk at ACM SIGSOFT FSE 2014 Visions & Challenges Track)
David Rosenblum
•
Hace 8 años
한국 웹 초창기 비하인드 스토리
removed_b20733aef4c19a1ab5010e5f64114bd0
•
Hace 8 años
How Google Works
Eric Schmidt
•
Hace 8 años
How Google Works / 구글은 어떻게 일하는가 (Korean / 한국어 버전)
Mika Eunjin Kang
•
Hace 8 años
소프트웨어개발자는누구인가?
Minsuk Lee
•
Hace 8 años
[PreSchool-1] 프로그래밍 '개념' 맛보기
Young-Ho Cho
•
Hace 8 años
Career Management (invited talk at ICSE 2014 NFRS)
David Rosenblum
•
Hace 8 años
The Art and Science of Analyzing Software Data
CS, NcState
•
Hace 8 años
논문 잘 읽는 법
Suhkyung Kim
•
Hace 9 años
Replication and Benchmarking in Software Analytics
University of Zurich
•
Hace 9 años
Jubula tutorial slides
bredex
•
Hace 11 años
Jubula tutorial EclipseCon North America 2012
bredex
•
Hace 10 años
Warning: don't do CS
CS, NcState
•
Hace 9 años
Franhouder july2013
CS, NcState
•
Hace 9 años
The 3 Secrets of Highly Successful Graduates
Reid Hoffman
•
Hace 9 años
What I Carry: 10 Tools for Success
Jonathon Colman
•
Hace 9 años
Daum’s Business Analytics Use-cases based on Bigdata technology (2012)
Channy Yun
•
Hace 9 años
What Would Steve Do? 10 Lessons from the World's Most Captivating Presenters
HubSpot
•
Hace 9 años
svn 능력자를 위한 git 개념 가이드
Insub Lee
•
Hace 9 años
소프트웨어 아키텍처
영기 김
•
Hace 9 años
The Zen of Scrum
Jurgen Appelo
•
Hace 13 años
스크럼, 이걸 왜 하나요
Insub Lee
•
Hace 10 años
Automated Debugging: Are We There Yet?
Alex Orso
•
Hace 9 años
KAIST 후배들을 위한 유학에 관한 이야기
Sang-il Oum
•
Hace 11 años
[홍순성]보다 쉽게 찾는 나만의 정리법
@hongss
•
Hace 10 años
Whither Software Engineering Research? (keynote talk at APSEC 2012)
David Rosenblum
•
Hace 10 años
Analytics for smarter software development
Thomas Zimmermann
•
Hace 10 años
Cra mentoring 2012 students
David Notkin
•
Hace 10 años
SSBSE 2012 Keynote
Massimiliano Di Penta
•
Hace 10 años
Machine Learning and Data Mining: 12 Classification Rules
Pier Luca Lanzi
•
Hace 15 años
ICSE 2011 Research Paper on Refactorings and Bug Fixes
miryung
•
Hace 11 años
How to prototype and influence people
azaraskin
•
Hace 12 años
Debugging Debugging
CISPA Helmholtz Center for Information Security
•
Hace 13 años
Mining Software Archives to Support Software Development
Thomas Zimmermann
•
Hace 15 años
Of Code and Change: Beautiful Software
Michele Lanza
•
Hace 14 años
My Top 10 slides on presentations
Alexei Kapterev
•
Hace 14 años
Death by PowerPoint
Alexei Kapterev
•
Hace 15 años
Brain Rules for Presenters
garr
•
Hace 14 años
How Developer Communication Frequency Relates to Bug Introducing Changes
Rahul Premraj
•
Hace 13 años
Seminar on Software Testing
Beat Fluri
•
Hace 13 años
Got Myth? Myths in Software Engineering
Thomas Zimmermann
•
Hace 15 años
Personal Information
Organización/Lugar de trabajo
Hong Kong, Hong Kong S.A.R. Hong Kong
Ocupación
Associate Prof.
Sector
Education
Sitio web
www.cse.ust.hk/~hunkim
Acerca de
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
Etiquetas
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
Ver más