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ISNN
2005
Springer
15 years 3 months ago
Non-parametric Statistical Tests for Informative Gene Selection
This paper presents two non-parametric statistical test methods, called Kolmogorov-Smirnov (KS) and U statistic test methods, respectively, for informative gene selection of a tumo...
Jinwen Ma, Fuhai Li, Jianfeng Liu
ISSRE
2008
IEEE
15 years 4 months ago
Automated Generation of Pointcut Mutants for Testing Pointcuts in AspectJ Programs
Aspect-Oriented Programming (AOP) provides new modularization of software systems by encapsulating crosscutting concerns. AspectJ, an AOP language, uses abstractions such as point...
Prasanth Anbalagan, Tao Xie
ICST
2009
IEEE
15 years 4 months ago
Test Input Generation Using UML Sequence and State Machines Models
We propose a novel testing approach that combines information from UML sequence models and state machine models. Current approaches that rely solely on sequence models do not cons...
Aritra Bandyopadhyay, Sudipto Ghosh
CORR
2010
Springer
132views Education» more  CORR 2010»
14 years 9 months ago
Bayesian Network Based XP Process Modelling
A Bayesian Network based mathematical model has been used for modelling Extreme Programming software development process. The model is capable of predicting the expected finish ti...
Mohamed Abouelela, Luigi Benedicenti
PKDD
2005
Springer
96views Data Mining» more  PKDD 2005»
15 years 3 months ago
Testing Theories in Particle Physics Using Maximum Likelihood and Adaptive Bin Allocation
We describe a methodology to assist scientists in quantifying the degree of evidence in favor of a new proposed theory compared to a standard baseline theory. The figure of merit ...
Bruce Knuteson, Ricardo Vilalta