Sciweavers

1157 search results - page 29 / 232
» A Machine Learning Approach for Statistical Software Testing
Sort
View
ICSEA
2006
IEEE
14 years 1 months ago
Testing a Network by Inferring Representative State Machines from Network Traces
— This paper describes an innovative approach to network testing based on automatically generating and analyzing state machine models of network behavior. The models are generate...
Nancy D. Griffeth, Yuri Cantor, Constantinos Djouv...
ICML
2008
IEEE
14 years 8 months ago
Structure compilation: trading structure for features
Structured models often achieve excellent performance but can be slow at test time. We investigate structure compilation, where we replace structure with features, which are often...
Dan Klein, Hal Daumé III, Percy Liang
SAFECOMP
1999
Springer
13 years 11 months ago
Towards Statistical Control of an Industrial Test Process
We present an ongoing experience aimed at introducing statistical process control techniques to one crucial test phase, namely Function Test, of a real world software development p...
Gaetano Lombardi, Emilia Peciola, Raffaela Mirando...
ML
2012
ACM
413views Machine Learning» more  ML 2012»
12 years 2 months ago
Gradient-based boosting for statistical relational learning: The relational dependency network case
Dependency networks approximate a joint probability distribution over multiple random variables as a product of conditional distributions. Relational Dependency Networks (RDNs) are...
Sriraam Natarajan, Tushar Khot, Kristian Kersting,...
PPOPP
2009
ACM
14 years 8 months ago
Mapping parallelism to multi-cores: a machine learning based approach
The efficient mapping of program parallelism to multi-core processors is highly dependent on the underlying architecture. This paper proposes a portable and automatic compiler-bas...
Zheng Wang, Michael F. P. O'Boyle