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ORCIDSeongmin Lee 0001
Person information
- affiliation: Max Planck Institute for Security and Privacy, Bochum, Germany
- affiliation (former): Korea Advanced Institute of Science and Technology, Computational Intelligence for Software Engineering Lab, Daejeon, South Korea
- not to be confused with: Seongmin Lee 0004
Other persons with the same name
- Seongmin Lee 0002
![[0000-0002-1564-5077]](https://dblp.org/img/orcid-mark.12x12.png "0000-0002-1564-5077")
— Yonsei University, Electrical and Electronic Department, Seoul, South Korea - Seongmin Lee 0003 (aka: Seong-Min Lee 0003) — Ulsan National Institute of Science and Technology, School of Mechanical and Nuclear Engineering, Ulsan, South Korea
- Seongmin Lee 0004 — SK Hynix Inc., Icheon, South Korea (and 1 more)
- Seongmin Lee 0005 — Hyundai Motor Company, Seoul, South Korea
- Seongmin Lee 0006 — Seoul National University, South Korea
- Seongmin Lee 0007 — Georgia Institute of Technology, Atlanta, GA, USA
- Seongmin Lee 0008 — Chung-Ang University, Seoul, South Korea
- Seongmin Lee 0010 — Kyungpook National University, Daegu, South Korea
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2020 – today
- 2024
[c9]Danushka Liyanage, Seongmin Lee, Chakkrit Tantithamthavorn, Marcel Böhme:
Extrapolating Coverage Rate in Greybox Fuzzing. ICSE 2024: 132:1-132:12- [i4]Seongmin Lee, Marcel Böhme:
How Much is Unseen Depends Chiefly on Information About the Seen. CoRR abs/2402.05835 (2024) - 2023
- [c8]Seongmin Lee, Marcel Böhme:
Statistical Reachability Analysis. ESEC/SIGSOFT FSE 2023: 326-337 - 2021
- [j3]Seongmin Lee, Dave W. Binkley, Robert Feldt, Nicolas Gold, Shin Yoo:
Observation-based approximate dependency modeling and its use for program slicing. J. Syst. Softw. 179: 110988 (2021) - [c7]Saeyoon Oh, Seongmin Lee, Shin Yoo:
Effectively Sampling Higher Order Mutants Using Causal Effect. ICST Workshops 2021: 19-24 - [i3]Seongmin Lee, Dave W. Binkley, Robert Feldt, Nicolas Gold, Shin Yoo:
Causal Program Dependence Analysis. CoRR abs/2104.09107 (2021) - [i2]Saeyoon Oh, Seongmin Lee, Shin Yoo:
Effectively Sampling Higher Order Mutants Using Causal Effect. CoRR abs/2104.11005 (2021) - 2020
- [j2]Seongmin Lee, Dave W. Binkley, Nicolas Gold, Syed S. Islam, Jens Krinke, Shin Yoo:
Evaluating lexical approximation of program dependence. J. Syst. Softw. 160 (2020) - [j1]William B. Langdon, Westley Weimer, Justyna Petke, Erik M. Fredericks, Seongmin Lee, Emily Winter, Michail Basios, Myra B. Cohen, Aymeric Blot, Markus Wagner, Bobby R. Bruce, Shin Yoo, Simos Gerasimou, Oliver Krauss, Yu Huang, Michael C. Gerten:
Genetic Improvement @ ICSE 2020. ACM SIGSOFT Softw. Eng. Notes 45(4): 24-30 (2020) - [c6]Seongmin Lee:
Scalable and approximate program dependence analysis. ICSE (Companion Volume) 2020: 162-165 - [i1]William B. Langdon, Westley Weimer, Justyna Petke, Erik M. Fredericks, Seongmin Lee, Emily Winter, Michail Basios, Myra B. Cohen, Aymeric Blot, Markus Wagner, Bobby R. Bruce, Shin Yoo, Simos Gerasimou, Oliver Krauss, Yu Huang, Michael C. Gerten:
Genetic Improvement @ ICSE 2020. CoRR abs/2007.15987 (2020)
2010 – 2019
- 2019
- [c5]Seongmin Lee, Shin Hong, Jungbae Yi, Taeksu Kim, Chul-Joo Kim, Shin Yoo:
Classifying False Positive Static Checker Alarms in Continuous Integration Using Convolutional Neural Networks. ICST 2019: 391-401 - [c4]Seongmin Lee, David W. Binkley, Robert Feldt, Nicolas Gold, Shin Yoo:
MOAD: Modeling Observation-Based Approximate Dependency. SCAM 2019: 12-22 - 2018
- [c3]Seongmin Lee, David W. Binkley, Nicolas Gold, Syed S. Islam, Jens Krinke, Shin Yoo:
MOBS: multi-operator observation-based slicing using lexical approximation of program dependence. ICSE (Companion Volume) 2018: 302-303 - 2017
- [c2]Seongmin Lee, Shin Yoo:
Hyperheuristic Observation Based Slicing of Guava. SSBSE 2017: 175-180 - 2016
- [c1]Jeongju Sohn, Seongmin Lee, Shin Yoo:
Amortised Deep Parameter Optimisation of GPGPU Work Group Size for OpenCV. SSBSE 2016: 211-217
Coauthor Index
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