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» A Machine Learning Approach for Statistical Software Testing
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SIGSOFT
2005
ACM
15 years 10 months ago
Performance data collection using a hybrid approach
Performance profiling consists of monitoring a software system during execution and then analyzing the obtained data. There are two ways to collect profiling data: event tracing t...
Edu Metz, Raimondas Lencevicius, Teofilo F. Gonzal...
ICPR
2006
IEEE
15 years 10 months ago
Mixture of Support Vector Machines for HMM based Speech Recognition
Speech recognition is usually based on Hidden Markov Models (HMMs), which represent the temporal dynamics of speech very efficiently, and Gaussian mixture models, which do non-opt...
Sven E. Krüger, Martin Schafföner, Marce...
ITNG
2008
IEEE
15 years 4 months ago
Combinatorial Test Case Selection with Markovian Usage Models
A method of using Markov chain techniques for combinatorial test case selection is presented. The method can be used for statistical and coverage testing of many software programs...
Sergiy A. Vilkomir, W. Thomas Swain, Jesse H. Poor...
EMNLP
2008
14 years 11 months ago
Modeling Annotators: A Generative Approach to Learning from Annotator Rationales
A human annotator can provide hints to a machine learner by highlighting contextual "rationales" for each of his or her annotations (Zaidan et al., 2007). How can one ex...
Omar Zaidan, Jason Eisner
COMPSAC
2003
IEEE
15 years 3 months ago
Testing the Suitability of Markov Chains as Web Usage Models
Markov chains have been used to model web usages and served as the basis for statistical testing, performance evaluation, and reliability analysis. However, most of such applicati...
Zhao Li, Jeff Tian