Kehan Gao

Biography

Dr. Gao is a Professor at the Department of Computer Science, Eastern Connecticut State University. Her research interests include software engineering, software metrics, software reliability and quality engineering, computational intelligence, and data mining & machine learning. She has published more than 80 refereed journal and conference papers in these areas. She is an IEEE member.

Research Interests

• Software engineering
• Software reliability and quality engineering
• Data mining and machine learning

Teaching Interests

• Software Engineering
• Databases and Information Management
• Data Structures and Algorithms

Publications

K. Gao, T. M Khoshgoftaar, and A. Napolitano "Investigating Two Approaches for Adding Feature Ranking to Sampled Ensemble Learning for Software Quality Estimation" International Journal of Software Engineering and Knowledge Engineering, vol. 25, no. 1, 2015, pp. 115–146. World Scientific.

K. Gao, T. M. Khoshgoftaar, and A. Napolitano "Aggregating Data Sampling with Feature Subset Selection to Address Skewed Software Defect Data" International Journal of Software Engineering and Knowledge Engineering, vol. 25, no. 9/10, 2015, pp. 1531–1550. World Scientific.

T. M. Khoshgoftaar, K. Gao, A. Napolitano, and Randall Wald “A Comparative Study of Iterative and Non-Iterative Feature Selection Techniques for Software Defect Prediction” Information Systems Frontiers, vol. 16, no. 5, November 2014, pp. 801-822. Springer.

K. Gao, T. M. Khoshgoftaar and N. Seliya “Predicting high-risk program modules by selecting the right software measurements”, Software Quality Journal, vol. 20, no. 1, 2012, pp. 3-42. Springer.

K. Gao, T. M. Khoshgoftaar, H. Wang and N. Seliya "Choosing software metrics for defect prediction: an investigation on feature selection techniques", Software: Practice and Experience. Special Issue: Practical Aspects of Search-Based Software Engineering, vol. 41, no 5, 2011, pp. 579-606. Wiley.