Seongmin Lee
Title
Cited by
Cited by
Year
Classifying false positive static checker alarms in continuous integration using convolutional neural networks
S Lee, S Hong, J Yi, T Kim, CJ Kim, S Yoo
2019 12th IEEE Conference on Software Testing, Validation and Verification …, 2019
72019
Amortised Deep Parameter Optimisation of GPGPU Work Group Size for OpenCV
J Sohn, S Lee, S Yoo
International Symposium on Search Based Software Engineering, 211-217, 2016
72016
PyGGI: Python General framework for Genetic Improvement
G An, J Kim, S Lee, S Yoo
한국정보과학회 학술발표논문집, 536-538, 2017
52017
MOAD: Modeling observation-based approximate dependency
S Lee, D Binkley, R Feldt, N Gold, S Yoo
2019 19th International Working Conference on Source Code Analysis and …, 2019
42019
Evaluating lexical approximation of program dependence
S Lee, D Binkley, N Gold, S Islam, J Krinke, S Yoo
Journal of Systems and Software 160, 110459, 2020
32020
Genetic Improvement@ ICSE 2020
WB Langdon, W Weimer, J Petke, E Fredericks, S Lee, E Winter, M Basios, ...
ACM SIGSOFT Software Engineering Notes 45 (4), 24-30, 2020
12020
Scalable and approximate program dependence analysis
S Lee
Proceedings of the ACM/IEEE 42nd International Conference on Software …, 2020
12020
Observation-based approximate dependency modeling and its use for program slicing
S Lee, D Binkley, R Feldt, N Gold, S Yoo
Journal of Systems and Software 179, 110988, 2021
2021
Causal Program Dependence Analysis
S Lee, D Binkley, R Feldt, N Gold, S Yoo
arXiv preprint arXiv:2104.09107, 2021
2021
MOBS: multi-operator observation-based slicing using lexical approximation of program dependence
S Lee, D Binkley, N Gold, S Islam, J Krinke, S Yoo
Proceedings of the 40th International Conference on Software Engineering …, 2018
2018
Hyperheuristic Observation Based Slicing of Guava
S Lee, S Yoo
International Symposium on Search Based Software Engineering, 175-180, 2017
2017
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Articles 1–11