Pamela Bhattacharya

I completed my PhD from Department of Computer Science at University of California, Riverside in applications of machine learning in software evolution and maintenance. I was advised by Prof. Iulian Neamtiu and Prof. Michalis Faloutsos. My graduate school webpage is archived here.

Dissertation: Applications of machine learning in software evolution and maintenance 

Publications: Papers published during the course of my PhD have been cited > 1200 times (Google scholar). 

Following are a selected list of papers I co-authored:

1. Graph-based analysis and prediction for software evolution, P Bhattacharya, M Iliofotou, I Neamtiu, M Faloutsos, 2012 34th International Conference on Software Engineering (ICSE), 419-429

2. Fine-grained incremental learning and multi-feature tossing graphs to improve bug triaging , P Bhattacharya, I Neamtiu, 2010 IEEE International Conference on Software Maintenance, 1-10 

3. Bug-fix time prediction models: can we do better? P Bhattacharya, I Neamtiu, Proceedings of the 8th Working Conference on Mining Software Repositories 

4. Automated, highly accurate, bug assignment using machine learning and tossing graphs, P Bhattacharya, I Neamtiu, CR Shelton, Journal of Systems and Software 85 (10), 2275-2292 

5. An empirical analysis of bug reports and bug fixing in open source android apps , P Bhattacharya, L Ulanova, I Neamtiu, SC Koduru, 2013 17th European Conference on Software Maintenance and Reengineering, 133-143

6. Assessing programming language impact on development and maintenance: A study on C and C++ , P Bhattacharya, I Neamtiu, 2011 33rd International Conference on Software Engineering (ICSE), 171-180