I am a postdoctoral researcher at Max Planck Institute for Security and Privacy in Bochum, Germany. I'm working with Dr. Marcel Böhme in the Software Security group. My research interests lie in dynamic program analysis, especially using statistical methods on dynamic information from execution to reason about a program's semantic property, which is incapable or limited for static analysis. I recently got my Ph.D. in Computation Intelligence and Software Engineering Lab (COINSE) at KAIST, advised by Dr. Shin Yoo.
seongmin.lee [at] mpi-sp.org
Zi. 5054, Universitätsstraße 110, 44799 Bochum, Nordrhein-Westfalen, Germany
Integrated Master's & Ph.D in School of Computing, KAIST
- Title: Statistical Program Dependence ApproximationSep. 2016 - Aug. 2022
B.S. in School of Computing, KAIST
(Double major: Department of Mathematical Sciences)
Feb. 2012 - Aug. 2016
Observation-based approximate dependency modeling and its use for program slicing
Journal of Systems and Software 2021
Effectively sampling higher order mutants using causal effect
IEEE International Conference on Software Testing,
Verification and Validation Workshops (ICSTW), 2021
Scalable and approximate program dependence analysis
Proceedings of the ACM/IEEE 42nd International Conference on
Software Engineering: Companion Proceedings, 2020
MOAD: Modeling observation-based approximate dependency
19th International Working Conference on Source Code
Analysis and Manipulation (SCAM), 2019
Classifying false positive static checker alarms in continuous integration using convolutional neural networks
12th IEEE Conference on Software Testing, Validation and
Verification (ICST), 2019
PyGGI: Python General framework for Genetic Improvement
Proceedings of Korea Software Congress (KSC), 2017
Hyperheuristic Observation Based Slicing of Guava
International Symposium on Search Based Software Engineering
(SSBSE), 2017
Amortised deep parameter optimisation of GPGPU work group size for OpenCV
International Symposium on Search Based Software Engineering
(SSBSE), 2016