Hi,
I am planning to give a practice talk for ICSE 2010 today (Friday) at
3pm. It is in room 1240 (different from the earlier email I sent to
some of you). It'd be great if you can attend and give your feedback.
Title: Adaptive Bug Isolation
Abstract:
Statistical debugging uses lightweight instrumentation and statistical
models to identify program behaviors that are strongly predictive of
failure. However, most software is mostly correct; nearly all monitored
behaviors are poor predictors of failure. We propose an adaptive
monitoring strategy that mitigates the overhead associated with
monitoring poor failure predictors. We begin by monitoring a small
portion of the program, then automatically refine instrumentation over
time to zero in on bugs. We formulate this approach as a search on
control-dependence graph of the program. We present and evaluate various
heuristics that can be used for this search. We also discuss the
construction of a binary instrumentor for incorporating the feedback
loop into post-deployment monitoring. Performance measurements show that
adaptive bug isolation yields an average performance overhead of 1% for
a class of large applications, as opposed to 87% for realistic
sampling-based instrumentation and 300% for complete binary instrumentation.
Thanks,
-Arumuga
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