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» A Machine Learning Approach for Statistical Software Testing
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APSEC
1998
IEEE
13 years 11 months ago
An Automatic Test Case Generator Derived from State-Based Testing
This paper describes an automated approach to generating test cases for an object-oriented class. The approach is derived from state-based testing methods and refers to a state ma...
Bor-Yuan Tsai, Simon Stobart, Norman Parrington, I...
CSSC
2008
75views more  CSSC 2008»
13 years 6 months ago
Statistical Certification of Software Systems
Common software release procedures based on statistical techniques try to optimise the trade-off between further testing costs and costs due to remaining errors. We propose new so...
Alessandro Di Bucchianico, Jan Friso Groote, Kees ...
SIGIR
2010
ACM
13 years 10 months ago
Learning more powerful test statistics for click-based retrieval evaluation
Interleaving experiments are an attractive methodology for evaluating retrieval functions through implicit feedback. Designed as a blind and unbiased test for eliciting a preferen...
Yisong Yue, Yue Gao, Olivier Chapelle, Ya Zhang, T...
AAAI
1994
13 years 8 months ago
Inducing Deterministic Prolog Parsers from Treebanks: A Machine Learning Approach
or untagged treebanks. ' When trained on an untagged This paper presents a method for constructing deterministic Prolog parsers from corpora of parsed sentences. Our approach ...
John M. Zelle, Raymond J. Mooney
JMLR
2012
11 years 9 months ago
Bayesian Comparison of Machine Learning Algorithms on Single and Multiple Datasets
We propose a new method for comparing learning algorithms on multiple tasks which is based on a novel non-parametric test that we call the Poisson binomial test. The key aspect of...
Alexandre Lacoste, François Laviolette, Mar...