Gabin An
Title
Cited by
Cited by
Year
PyGGI 2.0: language independent genetic improvement framework
G An, A Blot, J Petke, S Yoo
Proceedings of the 12th Joint Meeting on Foundations of Software Engineering …, 2019
112019
Comparing line and AST granularity level for program repair using PyGGI
G An, J Kim, S Yoo
Proceedings of the 4th International Workshop on Genetic Improvement …, 2018
92018
PyGGI: Python General framework for Genetic Improvement
G An, J Kim, S Lee, S Yoo
Proceedings of Korea Software Congress, 536-538, 2017
52017
The state and future of genetic improvement
WB Langdon, W Weimer, C Timperley, O Krauss, ZY Ding, Y Lyu, ...
ACM SIGSOFT Software Engineering Notes 44 (3), 25-29, 2019
22019
Amortising the cost of mutation based fault localisation using statistical inference
J Kim, G An, R Feldt, S Yoo
arXiv preprint arXiv:1902.09729, 2019
22019
Improving Test Distance for Failure Clustering with Hypergraph Modelling
G An, J Yoon, JJ Whang, S Yoo
arXiv preprint arXiv:2104.10360, 2021
2021
Human-in-the-Loop Fault Localisation Using Efficient Test Prioritisation of Generated Tests
G An, S Yoo
arXiv preprint arXiv:2104.06641, 2021
2021
Assisting Bug Report Assignment Using Automated Fault Localisation: An Industrial Case Study
J Sohn*, G An*, J Hong, D Hwang, S Yoo
2021 14th IEEE Conference on Software Testing, Verification and Validation …, 2021
2021
Reducing the Search Space of Bug Inducing Commits using Failure Coverage
G An, S Yoo
2021
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Articles 1–9