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» Adaptive bug isolation
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ICSE
2010
IEEE-ACM
13 years 10 months ago
Adaptive bug isolation
Statistical debugging uses lightweight instrumentation and statistical models to identify program behaviors that are strongly predictive of failure. However, most software is most...
Piramanayagam Arumuga Nainar, Ben Liblit
ICSE
2009
IEEE-ACM
13 years 3 months ago
HOLMES: Effective statistical debugging via efficient path profiling
Statistical debugging aims to automate the process of isolating bugs by profiling several runs of the program and using statistical analysis to pinpoint the likely causes of failu...
Trishul M. Chilimbi, Ben Liblit, Krishna K. Mehra,...
ASPLOS
2009
ACM
14 years 6 months ago
Anomaly-based bug prediction, isolation, and validation: an automated approach for software debugging
Software defects, commonly known as bugs, present a serious challenge for system reliability and dependability. Once a program failure is observed, the debugging activities to loc...
Martin Dimitrov, Huiyang Zhou
PLDI
2005
ACM
13 years 11 months ago
Scalable statistical bug isolation
We present a statistical debugging algorithm that isolates bugs in programs containing multiple undiagnosed bugs. Earlier statistical algorithms that focus solely on identifying p...
Ben Liblit, Mayur Naik, Alice X. Zheng, Alexander ...
PLDI
2011
ACM
12 years 8 months ago
Isolating and understanding concurrency errors using reconstructed execution fragments
In this paper we propose Recon, a new general approach to concurrency debugging. Recon goes beyond just detecting bugs, it also presents to the programmer short fragments of buggy...
Brandon Lucia, Benjamin P. Wood, Luis Ceze