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» The data mining approach to automated software testing
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ICSE
2012
IEEE-ACM
13 years 7 days ago
Performance debugging in the large via mining millions of stack traces
—Given limited resource and time before software release, development-site testing and debugging become more and more insufficient to ensure satisfactory software performance. As...
Shi Han, Yingnong Dang, Song Ge, Dongmei Zhang, Ta...
EDM
2009
110views Data Mining» more  EDM 2009»
14 years 7 months ago
Using Learning Decomposition and Bootstrapping with Randomization to Compare the Impact of Different Educational Interventions o
A basic question of instructional interventions is how effective it is in promoting student learning. This paper presents a study to determine the relative efficacy of different in...
Mingyu Feng, Joseph Beck, Neil T. Heffernan
IUI
2004
ACM
15 years 3 months ago
Evaluation of visual balance for automated layout
Layout refers to the process of determining the size and position of the visual objects in an information presentation. We introduce the WeightMap, a bitmap representation of the ...
Simon Lok, Steven Feiner, Gary Ngai
COMPSAC
2008
IEEE
15 years 4 months ago
Constraint Reasoning in Path-Oriented Random Testing
Path-oriented Random Testing (PRT) aims at generating a uniformly spread out sequence of random test data that activate a single control flow path within an imperative program. T...
Arnaud Gotlieb, Matthieu Petit
TMI
2010
172views more  TMI 2010»
14 years 8 months ago
Comparison of AdaBoost and Support Vector Machines for Detecting Alzheimer's Disease Through Automated Hippocampal Segmentation
Abstract— We compared four automated methods for hippocampal segmentation using different machine learning algorithms (1) hierarchical AdaBoost, (2) Support Vector Machines (SVM)...
Jonathan H. Morra, Zhuowen Tu, Liana G. Apostolova...