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Seongmin Lee

Orcid: 0000-0003-0805-8947

Affiliations:
  • Korea Advanced Institute of Science and Technology, Computational Intelligence for Software Engineering Lab, Daejeon, South Korea


According to our database1, Seongmin Lee authored at least 11 papers between 2016 and 2021.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Online presence:

On csauthors.net:

Bibliography

2021
Observation-based approximate dependency modeling and its use for program slicing.
[BibTeX]
[DOI]
Seongmin Lee
,
Dave W. Binkley
,
Robert Feldt
,
Nicolas Gold
,
Shin Yoo
J. Syst. Softw., 2021

Causal Program Dependence Analysis.
[BibTeX]
[DOI]
Seongmin Lee
,
Dave W. Binkley
,
Robert Feldt
,
Nicolas Gold
,
Shin Yoo
CoRR, 2021

Effectively Sampling Higher Order Mutants Using Causal Effect.
[BibTeX]
[DOI]
Saeyoon Oh
,
Seongmin Lee
,
Shin Yoo
Proceedings of the 14th IEEE International Conference on Software Testing, 2021

2020
Genetic Improvement @ ICSE 2020.
[BibTeX]
[DOI]
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
ACM SIGSOFT Softw. Eng. Notes, 2020

Evaluating lexical approximation of program dependence.
[BibTeX]
[DOI]
Seongmin Lee
,
Dave W. Binkley
,
Nicolas Gold
,
Syed S. Islam
,
Jens Krinke
,
Shin Yoo
J. Syst. Softw., 2020

Scalable and approximate program dependence analysis.
[BibTeX]
[DOI]
Seongmin Lee
Proceedings of the ICSE '20: 42nd International Conference on Software Engineering, Companion Volume, Seoul, South Korea, 27 June, 2020

2019
MOAD: Modeling Observation-Based Approximate Dependency.
[BibTeX]
[DOI]
Seongmin Lee
,
David W. Binkley
,
Robert Feldt
,
Nicolas Gold
,
Shin Yoo
Proceedings of the 19th International Working Conference on Source Code Analysis and Manipulation, 2019

Classifying False Positive Static Checker Alarms in Continuous Integration Using Convolutional Neural Networks.
[BibTeX]
[DOI]
Seongmin Lee
,
Shin Hong
,
Jungbae Yi
,
Taeksu Kim
,
Chul-Joo Kim
,
Shin Yoo
Proceedings of the 12th IEEE Conference on Software Testing, Validation and Verification, 2019

2018
MOBS: multi-operator observation-based slicing using lexical approximation of program dependence.
[BibTeX]
[DOI]
Seongmin Lee
,
David W. Binkley
,
Nicolas Gold
,
Syed S. Islam
,
Jens Krinke
,
Shin Yoo
Proceedings of the 40th International Conference on Software Engineering: Companion Proceeedings, 2018

2017
Hyperheuristic Observation Based Slicing of Guava.
[BibTeX]
[DOI]
Seongmin Lee
,
Shin Yoo
Proceedings of the Search Based Software Engineering - 9th International Symposium, 2017

2016
Amortised Deep Parameter Optimisation of GPGPU Work Group Size for OpenCV.
[BibTeX]
[DOI]
Jeongju Sohn
,
Seongmin Lee
,
Shin Yoo
Proceedings of the Search Based Software Engineering - 8th International Symposium, 2016


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