| Automated management of deep learning experiments G Gharibi, V Walunj, R Alanazi, S Rella, Y Lee Proceedings of the 3rd International Workshop on Data Management for End-to …, 2019 | 33 | 2019 |
| Automatic hierarchical clustering of static call graphs for program comprehension G Gharibi, R Alanazi, Y Lee 2018 IEEE International conference on big data (Big Data), 4016-4025, 2018 | 22 | 2018 |
| Facilitating program comprehension with call graph multilevel hierarchical abstractions R Alanazi, G Gharibi, Y Lee Journal of Systems and Software 176, 110945, 2021 | 17 | 2021 |
| Defect prediction using deep learning with Network Portrait Divergence for software evolution V Walunj, G Gharibi, R Alanazi, Y Lee Empirical Software Engineering 27 (5), 118, 2022 | 5 | 2022 |
| Software Analytics for Improving Program Comprehension R Alanazi University of Missouri-Kansas City, 2021 | 2 | 2021 |
| Graphevo Dataset: Network Portrait Divergence Based Defect Dataset and its Assessment V Walunj, G Gharibi, R Alanazi, Y Lee Available at SSRN 4176728, 0 | | |
Yugyung LeeProfessor of Computer Science, University of Missouri - Kansas CityVerified email at umkc.edu
