| Machine Learning System Architectural Pattern for Improving Operational Stability H Yokoyama 2019 IEEE International Conference on Software Architecture Companion (ICSA …, 2019 | 51 | 2019 |
| Toward improving ability to repair bugs automatically: A patch candidate location mechanism using code similarity H Yokoyama, Y Higo, K Hotta, T Ohta, K Okano, S Kusumoto Proceedings of the 31st Annual ACM Symposium on Applied Computing, 1364-1370, 2016 | 12 | 2016 |
| Toward Developer-like Automated Program Repair—Modification Comparisons between GenProg and Developers H Nakajima, Y Higo, H Yokoyama, S Kusumoto 2016 23rd Asia-Pacific Software Engineering Conference (APSEC), 241-248, 2016 | 7 | 2016 |
| Sirius: Static Program Repair with Dependence Graph-Based Systematic Edit Patterns K Noda, H Yokoyama, S Kikuchi 2021 IEEE International Conference on Software Maintenance and Evolution …, 2021 | 6 | 2021 |
| Towards building robust DNN applications: an industrial case study of evolutionary data augmentation H Yokoyama, S Onoue, S Kikuchi Proceedings of the 35th IEEE/ACM International Conference on Automated …, 2020 | 6 | 2020 |
| New strategies for selecting reuse candidates on automated program repair A Tanikado, H Yokoyama, M Yamamoto, S Sumi, Y Higo, S Kusumoto 2017 IEEE 41st Annual Computer Software and Applications Conference (COMPSAC …, 2017 | 6 | 2017 |
| Evaluating Automated Program Repair Using Characteristics of Defects H Yokoyama, Y Higo, S Kusumoto 2017 8th International Workshop on Empirical Software Engineering in …, 2017 | 5 | 2017 |
| Evaluating Automated Program Repair using Metrics of Defects H Yokoyama, Y Higo, S Kusumoto IEICE Technical Report; IEICE Tech. Rep. 116 (426), 129-134, 2017 | | 2017 |
Yoshiki HigoOsaka University, JapanVerified email at ist.osaka-u.ac.jp
