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» Using Machine Learning to Support Debugging with Tarantula
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ISSRE
2007
IEEE
13 years 5 months ago
Using Machine Learning to Support Debugging with Tarantula
Using a specific machine learning technique, this paper proposes a way to identify suspicious statements during debugging. The technique is based on principles similar to Tarantul...
Lionel C. Briand, Yvan Labiche, Xuetao Liu
VL
2010
IEEE
216views Visual Languages» more  VL 2010»
13 years 2 months ago
Explanatory Debugging: Supporting End-User Debugging of Machine-Learned Programs
Many machine-learning algorithms learn rules of behavior from individual end users, such as taskoriented desktop organizers and handwriting recognizers. These rules form a “prog...
Todd Kulesza, Simone Stumpf, Margaret M. Burnett, ...
ECML
2007
Springer
13 years 10 months ago
Statistical Debugging Using Latent Topic Models
Abstract. Statistical debugging uses machine learning to model program failures and help identify root causes of bugs. We approach this task using a novel Delta-Latent-Dirichlet-Al...
David Andrzejewski, Anne Mulhern, Ben Liblit, Xiao...
ML
2002
ACM
180views Machine Learning» more  ML 2002»
13 years 4 months ago
Gene Selection for Cancer Classification using Support Vector Machines
Isabelle Guyon, Jason Weston, Stephen Barnhill, Vl...
ISSTA
2007
ACM
13 years 5 months ago
Instrumenting where it hurts: an automatic concurrent debugging technique
As concurrent and distributive applications are becoming more common and debugging such applications is very difficult, practical tools for automatic debugging of concurrent appl...
Rachel Tzoref, Shmuel Ur, Elad Yom-Tov