| Predicting Vulnerable Software Components through N-Gram Analysis and Statistical Feature Selection Y Pang, X Xue, AS Namin Machine Learning and Applications (ICMLA), 2015 IEEE 14th International …, 2015 | 95 | 2015 |
| Predicting Vulnerable Software Components through Deep Neural Network Y Pang, X Xue, H Wang Proceedings of the 2017 International Conference on Deep Learning …, 2017 | 90 | 2017 |
| Identifying Effective Test Cases through K-Means Clustering for Enhancing Regression Testing Y Pang, X Xue, AS Namin Machine Learning and Applications (ICMLA), 2013 12th International …, 2013 | 45 | 2013 |
| How significant is the effect of fault interactions on coverage-based fault localizations? X Xue, AS Namin Empirical Software Engineering and Measurement, 2013 ACM/IEEE International …, 2013 | 42 | 2013 |
| Trimming Test Suites with Coincidentally Correct Test Cases for Enhancing Fault Localizations X Xue, Y Pang, AS Namin Computer Software and Applications Conference (COMPSAC), 2014 IEEE 38th …, 2014 | 41 | 2014 |
| A Clustering-Based Grouping Model for Enhancing Collaborative Learning Y Pang, F Xiao, H Wang, X Xue Machine Learning and Applications (ICMLA), 2014 13th International …, 2014 | 31 | 2014 |
| MuRanker: a mutant ranking tool AS Namin, X Xue, O Rosas, P Sharma Software Testing, Verification and Reliability 25 (5-7), 572-604, 2015 | 25 | 2015 |
| Online wireless mesh network traffic classification using machine learning C Gu, S Zhang, X Xue, H Huang Journal of Computational Information Systems 7 (5), 1524-1532, 2011 | 22 | 2011 |
| Internet traffic classification based on fuzzy kernel K-means clustering C Gu, S Zhang, X Xue Int. J. Adv. Comput. Technol 3 (3), 199-209, 2011 | 21 | 2011 |
| Early Identification of Vulnerable Software Components via Ensemble Learning Y Pang, X Xue, AS Namin Machine Learning and Applications (ICMLA), 2016 15th IEEE International …, 2016 | 18 | 2016 |
| Feature Selections for Effectively Localizing Faulty Events in GUI Applications X Xue, Y Pang, AS Namin Machine Learning and Applications (ICMLA), 2014 13th International …, 2014 | 15 | 2014 |
| Measuring the odds of statements being faulty X Xue, AS Namin International Conference on Reliable Software Technologies, 109-126, 2013 | 15 | 2013 |
| Encrypted internet traffic classification method based on host behavior C Gu, S Zhang, X Xue Int. J. Digit. Content Technol. Appl 5 (3), 167-174, 2011 | 14 | 2011 |
| Constructing collaborative learning groups with maximum diversity requirements Y Pang, R Mugno, X Xue, H Wang Advanced Learning Technologies (ICALT), 2015 IEEE 15th International …, 2015 | 10 | 2015 |
| Network intrusion detection based on improved proximal SVM C Gu, S Zhang, X Xue Advances in Information Sciences and Service Sciences 3 (4), 2011 | 10 | 2011 |
| A clustering-based test case classification technique for enhancing regression testing Y Pang, X Xue, AS Namin Journal of Software 12 (3), 153-165, 2017 | 8 | 2017 |
| Debugging in Parallel or Sequential: An Empirical Study. Y Pang, X Xue, AS Namin JSW 10 (5), 566-576, 2015 | 4 | 2015 |
| Random walk and linear switching systems Y Pang, A Wang, X Xue, CF Martin Communications in Information and Systems 12 (4), 277-299, 2013 | 4 | 2013 |
| Online Self-learning Internet Traffic Classification based on Profile and Ontology C Gu, S Zhang, X Xue Journal of Convergence Information Technology 6 (4), 2011 | 4 | 2011 |
| Testing Multi-Threaded Applications Using Answer Set Programming X Xue, S Siami-Namini, AS Namin International Journal of Software Engineering and Knowledge Engineering 28 …, 2018 | 3 | 2018 |
yulei pangSouthern Connecticut State UniversityVerified email at southernct.edu
