Sung Hun KIM 金成勳
Sung Hun KIM 金成勳 

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Email e.g. xxx@ust.hk
hunkim@ust.hk

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Scopus ID

First Name (and Middle Name If Any)
Sung Hun
KIM
金成勳
Highest Degree Acquired (e.g. PhD in Engineering Science)
PhD in Computer Science, University of California, Santa Cruz

Contact Information

Email

Email e.g. xxx@ust.hk
hunkim@ust.hk

Office

Google Scholar

Scopus ID

Research Interests

Research Interests
Identifying faults in program development or in deployed programs by mining software repositories
Program execution (dynamic analysis)
Programmer productivity
Source code (static analysis)

Biography

Biography

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 PhD (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 in program development or in deployed programs by mining software repositories, source code (static analysis), and program execution (dynamic analysis).

Research Interests

Research Interests
Identifying faults in program development or in deployed programs by mining software repositories
Program execution (dynamic analysis)
Programmer productivity
Source code (static analysis)

Biography

Biography

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 PhD (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 in program development or in deployed programs by mining software repositories, source code (static analysis), and program execution (dynamic analysis).