| A case study in locating the architectural roots of technical debt R Kazman, Y Cai, R Mo, Q Feng, L Xiao, S Haziyev, V Fedak, ... 2015 IEEE/ACM 37th IEEE international conference on software engineering 2 …, 2015 | 204 | 2015 |
| Identifying and quantifying architectural debt L Xiao, Y Cai, R Kazman, R Mo, Q Feng Proceedings of the 38th international conference on software engineering …, 2016 | 138 | 2016 |
| Decoupling level: A new metric for architectural maintenance complexity R Mo, Y Cai, R Kazman, L Xiao, Q Feng Proceedings of the 38th International Conference on Software Engineering …, 2016 | 115 | 2016 |
| Architecture anti-patterns: Automatically detectable violations of design principles R Mo, Y Cai, R Kazman, L Xiao, Q Feng IEEE Transactions on Software Engineering 47 (5), 1008-1028, 2019 | 68 | 2019 |
| Design rule spaces: A new model for representing and analyzing software architecture Y Cai, L Xiao, R Kazman, R Mo, Q Feng IEEE Transactions on Software Engineering 45 (7), 657-682, 2018 | 45 | 2018 |
| Towards an architecture-centric approach to security analysis Q Feng, R Kazman, Y Cai, R Mo, L Xiao 2016 13th Working IEEE/IFIP Conference on Software Architecture (WICSA), 221-230, 2016 | 45 | 2016 |
| A longitudinal study of identifying and paying down architecture debt M Nayebi, Y Cai, R Kazman, G Ruhe, Q Feng, C Carlson, F Chew 2019 IEEE/ACM 41st International Conference on Software Engineering …, 2019 | 36 | 2019 |
| Investigating the impact of multiple dependency structures on software defects D Cui, T Liu, Y Cai, Q Zheng, Q Feng, W Jin, J Guo, Y Qu 2019 IEEE/ACM 41st International Conference on Software Engineering (ICSE …, 2019 | 28 | 2019 |
| An exploratory study of bug prediction at the method level R Mo, S Wei, Q Feng, Z Li Information and software technology 144, 106794, 2022 | 23 | 2022 |
| Active hotspot: An issue-oriented model to monitor software evolution and degradation Q Feng, Y Cai, R Kazman, D Cui, T Liu, H Fang 2019 34th IEEE/ACM International Conference on Automated Software …, 2019 | 20 | 2019 |
| Detecting the locations and predicting the maintenance costs of compound architectural debts L Xiao, Y Cai, R Kazman, R Mo, Q Feng IEEE transactions on software engineering 48 (9), 3686-3715, 2021 | 18 | 2021 |
| Assessing an architecture's ability to support feature evolution R Mo, Y Cai, R Kazman, Q Feng Proceedings of the 26th Conference on Program Comprehension, 297-307, 2018 | 7 | 2018 |
| The existence and co-modifications of code clones within or across microservices R Mo, Y Zhao, Q Feng, Z Li Proceedings of the 15th ACM/IEEE International Symposium on Empirical …, 2021 | 6 | 2021 |
| Fine‐grained analysis of dependency cycles among classes Q Feng, R Mo Journal of Software: Evolution and Process 35 (1), e2496, 2023 | 3 | 2023 |
| one step further: Investigating problematic files of architecture anti-patterns J Liu, W Jin, Q Feng, X Zhang, Y Dai 2021 IEEE 32nd International Symposium on Software Reliability Engineering …, 2021 | 3 | 2021 |
| An empirical study of untangling patterns of two-class dependency cycles Q Feng, S Liu, H Ji, X Ma, P Liang Empirical Software Engineering 29 (2), 56, 2024 | 1 | 2024 |
| Copilot Refinement: Addressing Code Smells in Copilot-Generated Python Code B Zhang, P Liang, Q Feng, Y Fu, Z Li arXiv preprint arXiv:2401.14176, 2024 | 1 | 2024 |
| Risky Dynamic Typing Related Practices in Python: An Empirical Study Z Chen, L Chen, Y Yang, Q Feng, X Li, W Song ACM Transactions on Software Engineering and Methodology, 2024 | 1 | 2024 |
| The birth, growth, death and rejuvenation of software maintenance communities Q Feng, Y Cai, R Kazman, R Mo Proceedings of the 12th ACM/IEEE International Symposium on Empirical …, 2018 | 1 | 2018 |
| Integrating Various Software Artifacts for Better LLM-based Bug Localization and Program Repair Q Feng, X Ma, J Sheng, Z Feng, W Song, P Liang arXiv preprint arXiv:2412.03905, 2024 | | 2024 |
Ran MoCentral China Normal UniversityVerified email at ccnu.edu.cn
