Her work spans the areas of programming languages and software
engineering, with a specific focus on program analysis. Her research
aims to design and build tools to help developers write more
reliable and efficient software. For her doctoral dissertation, she
designed and applied static program analyses to find
error-propagation bugs in large software systems. At UC Berkeley,
Dr. Rubio led the development of dynamic program analysis tools to improve the performance of numerical programs.
Database-Backed Program Analysis for Scalable Error Propagation
International Conference on Software Engineering (ICSE'15)
Florence, Italy, May 2015.
Defective Error/Pointer Interactions in the Linux Kernel C. Rubio-González,
International Symposium on Software Testing and Analysis (ISSTA'11)
Toronto, Canada, July 2011.
Expect the Unexpected: Error Code Mismatches Between Documentation and the Real World C. Rubio-González,
Workshop on Program Analysis for Software Tools and Engineering (PASTE'10)
Toronto, Canada, June 2010.