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» Enhancing Automated Test Selection in Probabilistic Networks
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AIME
2007
Springer
13 years 11 months ago
Enhancing Automated Test Selection in Probabilistic Networks
Abstract. Most test-selection algorithms currently in use with probabilistic networks select variables myopically, that is, test variables are selected sequentially, on a one-by-on...
Danielle Sent, Linda C. van der Gaag
COMPSAC
2007
IEEE
13 years 8 months ago
AOP-based automated unit test classification of large benchmarks
Despite the availability of a variety of program analysis tools, evaluation of these tools is difficult, as only few benchmark suites exist. Existing benchmark suites lack the uni...
Cyrille Artho, Zhongwei Chen, Shinichi Honiden
GECCO
2010
Springer
172views Optimization» more  GECCO 2010»
13 years 9 months ago
Designing better fitness functions for automated program repair
Evolutionary methods have been used to repair programs automatically, with promising results. However, the fitness function used to achieve these results was based on a few simpl...
Ethan Fast, Claire Le Goues, Stephanie Forrest, We...
AIME
2007
Springer
13 years 11 months ago
On the Behaviour of Information Measures for Test Selection
In diagnostic decision-support systems, a test-selection facility serves to select tests that are expected to yield the largest decrease in the uncertainty about a patient’s diag...
Danielle Sent, Linda C. van der Gaag
TMI
1998
140views more  TMI 1998»
13 years 4 months ago
Automated Seeded Lesion Segmentation on Digital Mammograms
Abstract—Segmenting lesions is a vital step in many computerized mass-detection schemes for digital (or digitized) mammograms. We have developed two novel lesion segmentation tec...
Matthew A. Kupinski, Maryellen L. Giger