Seongmin Lee

23 papers A* 3A 1B 2C 1Journal 11Unranked 5
YearRankTypeTitle / Venue / Authors
2025 A* conf
Accounting for Missing Events in Statistical Information Leakage Analysis.
ICSE
Seongmin Lee, Shreyas Minocha, Marcel Böhme
2025 J jnl
Can LLM Generate Regression Tests for Software Commits?
CoRR
Jing Liu, Seongmin Lee, Eleonora Losiouk, Marcel Böhme
2025 J jnl
Causal program dependence analysis.
Sci. Comput. Program.
Seongmin Lee, Dave W. Binkley, Robert Feldt, Nicolas Gold, Shin Yoo
2025 A* conf
How Much is Unseen Depends Chiefly on Information About the Seen.
ICLR
Seongmin Lee, Marcel Boehme
2025 J jnl
Large Language Model-Driven Concolic Execution for Highly Structured Test Input Generation.
CoRR
Haoxin Tu, Seongmin Lee, Yuxian Li, Peng Chen, Lingxiao Jiang, Marcel Böhme
2025 — conf
Refining Fuzzed Crashing Inputs for Better Fault Diagnosis.
SIGSOFT FSE Companion
Kieun Kim, Seongmin Lee, Shin Hong
2025 J jnl
Refining Fuzzed Crashing Inputs for Better Fault Diagnosis.
CoRR
Kieun Kim, Seongmin Lee, Shin Hong
2024 A* conf
Extrapolating Coverage Rate in Greybox Fuzzing.
ICSE
Danushka Liyanage, Seongmin Lee, Chakkrit Tantithamthavorn, Marcel Böhme
2024 J jnl
How Much is Unseen Depends Chiefly on Information About the Seen.
CoRR
Seongmin Lee, Marcel Böhme
2023 — conf
Statistical Reachability Analysis.
ESEC/SIGSOFT FSE
Seongmin Lee, Marcel Böhme
2021 J jnl
Causal Program Dependence Analysis.
CoRR
Seongmin Lee, Dave W. Binkley, Robert Feldt, Nicolas Gold, Shin Yoo
2021 — conf
Effectively Sampling Higher Order Mutants Using Causal Effect.
ICST Workshops
Saeyoon Oh, Seongmin Lee, Shin Yoo
2021 J jnl
Effectively Sampling Higher Order Mutants Using Causal Effect.
CoRR
Saeyoon Oh, Seongmin Lee, Shin Yoo
2021 J jnl
Observation-based approximate dependency modeling and its use for program slicing.
J. Syst. Softw.
Seongmin Lee, Dave W. Binkley, Robert Feldt, Nicolas Gold, Shin Yoo
2020 J jnl
Evaluating lexical approximation of program dependence.
J. Syst. Softw.
Seongmin Lee, Dave W. Binkley, Nicolas Gold, Syed S. Islam, Jens Krinke, Shin Yoo
2020 J jnl
Genetic Improvement @ ICSE 2020.
CoRR
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
2020 J jnl
Genetic Improvement @ ICSE 2020.
ACM SIGSOFT Softw. Eng. Notes
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
2020 — conf
Scalable and approximate program dependence analysis.
ICSE (Companion Volume)
Seongmin Lee
2019 A conf
Classifying False Positive Static Checker Alarms in Continuous Integration Using Convolutional Neural Networks.
ICST
Seongmin Lee, Shin Hong, Jungbae Yi, Taeksu Kim, Chul-Joo Kim, Shin Yoo
2019 C conf
MOAD: Modeling Observation-Based Approximate Dependency.
SCAM
Seongmin Lee, David W. Binkley, Robert Feldt, Nicolas Gold, Shin Yoo
2018 — conf
MOBS: multi-operator observation-based slicing using lexical approximation of program dependence.
ICSE (Companion Volume)
Seongmin Lee, David W. Binkley, Nicolas Gold, Syed S. Islam, Jens Krinke, Shin Yoo
2017 B conf
Hyperheuristic Observation Based Slicing of Guava.
SSBSE
Seongmin Lee, Shin Yoo
2016 B conf
Amortised Deep Parameter Optimisation of GPGPU Work Group Size for OpenCV.
SSBSE
Jeongju Sohn, Seongmin Lee, Shin Yoo