Monday, March 01, 2010
11:00 AM
Computer Studies Bldg. Room 209
Michael Bond
University of Texas at Austin
Achieving Reliability in Deployed Software Systems
Software is becoming more complex and concurrent due to demand for features and hardware trends that are leading to more instead of faster cores. In the face of these challenges, developers have trouble writing large, correct, scalable programs. Deployed software inevitably contains bugs, even if it has been thoroughly tested, because it is infeasible to analyze and test all possible inputs, environments, and thread schedules. My research focuses on improving reliability while production software runs, to help prevent, diagnose, and tolerate errors that actually manifest in deployment.

This talk first presents Pacer, a deployable, scalable approach for detecting data races, which are a common and serious type of concurrency bug. Second, I describe techniques for efficiently reporting the calling context (stack trace) of concurrency and other bugs -- essential information for understanding the behavior of complex, modern programs. I conclude with my future plans for developing new analyses and frameworks that make concurrent software reliable.


Michael D. Bond is a postdoctoral fellow in Computer Science at UT Austin. He received his PhD from UT Austin in December 2008, supervised by Kathryn S. McKinley. His research makes software more robust by using dynamic analysis to diagnose and tolerate unexpected errors. Michael's interests include programming languages, runtime systems, compilers, and security. His dissertation received the 2008 ACM SIGPLAN Outstanding Doctoral Dissertation Award.

Refreshment provided at 10:45