Sung Kim

Program Analysis Group
Computer Science & Artificial Intelligence Lab (CSAIL)
Dept. of Electrical Engineering & Computer Science
Massachusetts Institute of Technology

@
hunkimcsail.mit.edu

Sung is a post-doc at the Program Analysis Group at MIT. Recently, he completed 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.

Currently, he is working on the Application Communities and ReCrash projects at MIT. He participated in the Kenyon project which is a common extraction, preprocessing, and storage platform. He created a WebDAV filesystem, DAVFS project which is part of Mandrake Linux 9.0 and a database backed WebDAV and DASL repository, Catacomb.

His research area is Software Engineering, focusing on software evolution, 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).


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