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TSP
2010
15 years 1 months ago
Learning graphical models for hypothesis testing and classification
Sparse graphical models have proven to be a flexible class of multivariate probability models for approximating high-dimensional distributions. In this paper, we propose techniques...
Vincent Y. F. Tan, Sujay Sanghavi, John W. Fisher ...
GECCO
2008
Springer
131views Optimization» more  GECCO 2008»
15 years 7 months ago
Testing parallelization paradigms for MOEAs
In this paper, we report on our investigation of factors affecting the performance of various parallelization paradigms for multiobjective evolutionary algorithms. Different paral...
Sadeesha Gamhewa, Philip Hingston
ICSE
2009
IEEE-ACM
16 years 7 months ago
Maintaining and evolving GUI-directed test scripts
Since manual black-box testing of GUI-based APplications (GAPs) is tedious and laborious, test engineers create test scripts to automate the testing process. These test scripts in...
Mark Grechanik, Qing Xie, Chen Fu
IIE
2007
159views more  IIE 2007»
15 years 6 months ago
Creating and Visualizing Test Data from Programming Exercises
Automatic assessment of programming exercises is typically based on testing approach. Most automatic assessment frameworks execute tests and evaluate test results automatically, bu...
Petri Ihantola
IUI
2012
ACM
14 years 2 months ago
Towards automatic functional test execution
As applications are developed, functional tests ensure they continue to function as expected. Nowadays, functional testing is mostly done manually, with human testers verifying a ...
Pablo Pedemonte, Jalal Mahmud, Tessa Lau