Towards more accurate severity prediction and fixer recommendation of software bugs T Zhang, J Chen, G Yang, B Lee, X Luo Journal of Systems and Software 117, 166-184, 2016 | 163 | 2016 |
Towards semi-automatic bug triage and severity prediction based on topic model and multi-feature of bug reports G Yang, T Zhang, B Lee 2014 IEEE 38th Annual Computer Software and Applications Conference, 97-106, 2014 | 148 | 2014 |
Predicting severity of bug report by mining bug repository with concept profile T Zhang, G Yang, B Lee, ATS Chan Proceedings of the 30th Annual ACM Symposium on Applied Computing, 1553-1558, 2015 | 58 | 2015 |
A novel developer ranking algorithm for automatic bug triage using topic model and developer relations T Zhang, G Yang, B Lee, EK Lua 2014 21st Asia-Pacific Software Engineering Conference 1, 223-230, 2014 | 57 | 2014 |
Analyzing emotion words to predict severity of software bugs: A case study of open source projects G Yang, S Baek, JW Lee, B Lee Proceedings of the Symposium on Applied Computing, 1280-1287, 2017 | 48 | 2017 |
Applying deep learning algorithm to automatic bug localization and repair G Yang, K Min, B Lee Proceedings of the 35th Annual ACM symposium on applied computing, 1634-1641, 2020 | 23 | 2020 |
An emotion similarity based severity prediction of software bugs: A case study of open source projects G Yang, T Zhang, B Lee IEICE TRANSACTIONS on Information and Systems 101 (8), 2015-2026, 2018 | 23 | 2018 |
Utilizing a multi-developer network-based developer recommendation algorithm to fix bugs effectively G Yang, T Zhang, B Lee Proceedings of the 29th Annual ACM Symposium on Applied Computing, 1134-1139, 2014 | 21 | 2014 |
Bug severity prediction by classifying normal bugs with text and meta-field information K Jin, A Dashbalbar, G Yang, JW Lee, B Lee Adv. Sci. Technol. Lett 129, 19-24, 2016 | 20 | 2016 |
Bug severity prediction algorithm using topic-based feature selection and CNN-LSTM algorithm J Kim, G Yang IEEE Access 10, 94643-94651, 2022 | 15 | 2022 |
Applying topic modeling and similarity for predicting bug severity in cross projects G Yang, K Min, JW Lee, B Lee KSII Transactions on Internet and Information Systems (TIIS) 13 (3), 1583-1598, 2019 | 14 | 2019 |
Predicting duplicate in bug report using topic-based duplicate learning with fine tuning-based bert algorithm T Kim, G Yang IEEE Access 10, 129666-129675, 2022 | 11 | 2022 |
Improving predictions about bug severity by utilizing bugs classified as normal K Jin, A Dashbalbar, G Yang, B Lee, JW Lee Contemporary Engineering Sciences 9 (19), 933-942, 2016 | 10 | 2016 |
Role analysis-based automatic bug triage algorithm T Zhang, G Yang, B Lee, I Shin Information Processing Society of Japan 4, 2012 | 9 | 2012 |
Applying genetic programming with similar bug fix information to automatic fault repair G Yang, Y Jeong, K Min, J Lee, B Lee Symmetry 10 (4), 92, 2018 | 8 | 2018 |
Guiding bug triage through developer analysis in bug reports T Zhang, G Yang, B Lee, ATS Chan International Journal of Software Engineering and Knowledge Engineering 26 …, 2016 | 8 | 2016 |
Utilizing topic-based similar commit information and CNN-LSTM algorithm for bug localization G Yang, B Lee Symmetry 13 (3), 406, 2021 | 7 | 2021 |
A Bug Triage Technique Using Developer-Based Feature Selection and CNN-LSTM Algorithm J Jang, G Yang Applied Sciences 12 (18), 9358, 2022 | 5 | 2022 |
Predicting bug severity by utilizing topic model and bug report meta-field G Yang, B Lee KIISE Transactions on Computing Practices 21 (9), 616-621, 2015 | 4 | 2015 |
Applying SeqGAN Algorithm to Software Bug Repair G Yang, B Lee Journal of Internet Computing and Services 21 (5), 129-137, 2020 | 2 | 2020 |