We are investigating techniques, based on statistical modeling,
for identifying, characterizing, and predicting failures that occur in
the field. These techniques can be used to identify which kinds
of failures users experience, support debugging activities, prioritize
bug fixes, and steer program executions.
Some of our recent work is described in:
Some of our recent work is described in:
- Murali Haran, Alan Karr, Alessandro Orso, Adam Porter and Ashish Sanil, Applying Classification Techniques to Remotely-Collected Program Execution Data. In the Proceedings of the Joint 10th European Software Engineering Conference and 13th ACM SIGSOFT Symposium on the Foundations of Software Engineering (ESEC/FSE 2005). Sept. 2005, Lisbon, Portugal.
