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Showing results 1 to 6 of 6

1
Amortised deep parameter optimisation of GPGPU work group size for OpenCV

Sohn, Jeong Ju; Lee, Seongmin; Yoo, Shin, 8th International Symposium on Search Based Software Engineering, SSBSE 2016, pp.211 - 217, Springer Verlag, 2016-10

2
Classifying False Positive Static Checker Alarms in Continuous Integration Using Convolutional Neural Networks

Lee, Seongmin; Hong, Shin; Yi, Jungbae; Kim, Taeksu; Kim, Chul-Joo; Yoo, Shin, 2019 12th IEEE Conference on Software Testing, Validation and Verification (ICST), pp.391 - 401, IEEE, 2019-04-26

3
Effectively Sampling Higher Order Mutants Using Causal Effect

Oh, Saeyoon; Lee, Seongmin; Yoo, Shin, 14th IEEE Conference on Software Testing, Verification and Validation (ICST), pp.19 - 24, IEEE COMPUTER SOC, 2021-04-12

4
Hyperheuristic observation based slicing of guava

Lee, Seongmin; Yoo, Shin, 9th International Symposium on Search-Based Software Engineering, SSBSE 2017, pp.175 - 180, Springer Verlag, 2017-09-09

5
MOAD: Modeling Observation-based Approximate Dependency

Lee, Seongmin; Binkley, David; Feldt, Robert; Gold, Nicolas; Yoo, Shin, IEEE International Conference on Source Code Analysis and Manipulation, pp.12 - 22, IEEE Computer Society, 2019-09-30

6
MOBS: Multi-Operator Observation-Based Slicing using Lexical Approximation of Program Dependence

Lee, Seongmin; Binkley, David; Gold, Nicolas; Islam, Syed; Krinke, Jens; Yoo, Shin, 40th ACM/IEEE International Conference on Software Engineering (ICSE), pp.302 - 303, IEEE, 2018-05-30

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