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HIS
2008
13 years 9 months ago
Artificial Data Sets Based on Knowledge Generators: Analysis of Learning Algorithms Efficiency
This paper proposes a methodology to generate artificial data sets to evaluate the behavior of machine learning techniques. The methodology relies in the definition of a domain an...
Joaquin Rios-Boutin, Albert Orriols-Puig, Josep Ma...
ISSRE
2003
IEEE
14 years 1 months ago
An Empirical Study on Testing and Fault Tolerance for Software Reliability Engineering
Software testing and software fault tolerance are two major techniques for developing reliable software systems, yet limited empirical data are available in the literature to eval...
Michael R. Lyu, Zubin Huang, Sam K. S. Sze, Xia Ca...
TSE
2010
155views more  TSE 2010»
13 years 2 months ago
Incremental Test Generation for Software Product Lines
Recent advances in mechanical techniques for systematic testing have increased our ability to automatically find subtle bugs, and hence to deploy more dependable software. This pap...
Engin Uzuncaova, Sarfraz Khurshid, Don S. Batory
ISSTA
2004
ACM
14 years 1 months ago
Test input generation with java PathFinder
We show how model checking and symbolic execution can be used to generate test inputs to achieve structural coverage of code that manipulates complex data structures. We focus on ...
Willem Visser, Corina S. Pasareanu, Sarfraz Khursh...
SYNTHESE
2008
112views more  SYNTHESE 2008»
13 years 7 months ago
A sufficient condition for pooling data
We consider the problems arising from using sequences of experiments to discover the causal structure among a set of variables, none of whom are known ahead of time to be an "...
Frederick Eberhardt