Mining user opinions in mobile app reviews: A keyword-based approach (t) MV Phong, TT Nguyen, HV Pham, TT Nguyen 2015 30th IEEE/ACM International Conference on Automated Software …, 2015 | 233 | 2015 |
Learning API usages from bytecode: A statistical approach TT Nguyen, HV Pham, PM Vu, TT Nguyen Proceedings of the 38th International Conference on Software Engineering …, 2016 | 82 | 2016 |
Phrase-based extraction of user opinions in mobile app reviews PM Vu, HV Pham, TT Nguyen, TT Nguyen Proceedings of the 31st IEEE/ACM international conference on automated …, 2016 | 71 | 2016 |
Recommending API usages for mobile apps with hidden markov model TT Nguyen, HV Pham, PM Vu, TT Nguyen 2015 30th IEEE/ACM International Conference on Automated Software …, 2015 | 56 | 2015 |
Code recommendation for exception handling T Nguyen, P Vu, T Nguyen Proceedings of the 28th ACM Joint Meeting on European Software Engineering …, 2020 | 27 | 2020 |
Tool support for analyzing mobile app reviews PM Vu, HV Pham, TT Nguyen, TT Nguyen 2015 30th IEEE/ACM International Conference on Automated Software …, 2015 | 26 | 2015 |
Deep learning UI design patterns of mobile apps TT Nguyen, PM Vu, HV Pham, TT Nguyen Proceedings of the 40th International Conference on Software Engineering …, 2018 | 25 | 2018 |
Recommending exception handling code T Nguyen, P Vu, T Nguyen 2019 IEEE International Conference on Software Maintenance and Evolution …, 2019 | 14 | 2019 |
Personalized code recommendation T Nguyen, P Vu, T Nguyen 2019 IEEE International Conference on Software Maintenance and Evolution …, 2019 | 12 | 2019 |
An empirical study of exception handling bugs and fixes TT Nguyen, PM Vu, TT Nguyen Proceedings of the 2019 ACM Southeast Conference, 257-260, 2019 | 10 | 2019 |
Toward mining visual log of software H Pham, T Nguyen, P Vu, T Nguyen arXiv preprint arXiv:1610.08911, 2016 | 8 | 2016 |
Recommendation of exception handling code in mobile app development TT Nguyen, PM Vu, TT Nguyen arXiv preprint arXiv:1908.06567, 2019 | 6 | 2019 |
Why do app reviews get responded: A preliminary study of the relationship between reviews and responses in mobile apps PM Vu, TT Nguyen, TT Nguyen Proceedings of the 2019 ACM Southeast Conference, 237-240, 2019 | 6 | 2019 |
Code search on bytecode for mobile app development TT Nguyen, PM Vu, TT Nguyen Proceedings of the 2019 ACM Southeast Conference, 253-256, 2019 | 6 | 2019 |
Alpaca: Advanced linguistic pattern and concept analysis framework for software engineering corpora PM Vu, TT Nguyen, TT Nguyen Proceedings of the 2019 ACM Southeast Conference, 249-252, 2019 | 6 | 2019 |
Fuzzy multi-intent classifier for user generated software documents PM Vu, TT Nguyen, TT Nguyen Proceedings of the 2020 ACM Southeast Conference, 292-295, 2020 | 3 | 2020 |
Api misuse correction: A statistical approach TT Nguyen, PM Vu, TT Nguyen arXiv preprint arXiv:1908.06492, 2019 | 3 | 2019 |
On building an automated responding system for app reviews: What are the characteristics of reviews and their responses? PM Vu, TT Nguyen, TT Nguyen arXiv preprint arXiv:1908.10816, 2019 | 2 | 2019 |
Api misuse correction: A fuzzy logic approach TT Nguyen, PM Vu, TT Nguyen Proceedings of the 2020 ACM Southeast Conference, 288-291, 2020 | 1 | 2020 |
Tracking Software Security Topics PM Vu, TT Nguyen arXiv preprint arXiv:2409.18351, 2024 | | 2024 |