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» An empirical study of regression test application frequency
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ECRIME
2007
13 years 11 months ago
A comparison of machine learning techniques for phishing detection
There are many applications available for phishing detection. However, unlike predicting spam, there are only few studies that compare machine learning techniques in predicting ph...
Saeed Abu-Nimeh, Dario Nappa, Xinlei Wang, Suku Na...
APSEC
2008
IEEE
14 years 2 months ago
Test Case Prioritization Based on Analysis of Program Structure
Test case prioritization techniques have been empirically proved to be effective in improving the rate of fault detection in regression testing. However, most of previous techniqu...
Zengkai Ma, Jianjun Zhao
HICSS
2006
IEEE
97views Biometrics» more  HICSS 2006»
14 years 1 months ago
Dynamically Optimizing Parameters in Support Vector Regression: An Application of Electricity Load Forecasting
This study develops a novel model, GA-SVR, for parameters optimization in support vector regression and implements this new model in a problem forecasting maximum electrical daily...
Chin-Chia Hsu, Chih-Hung Wu, Shih-Chien Chen, Kang...
ICASSP
2009
IEEE
14 years 2 months ago
Postural time-series analysis using Empirical Mode Decomposition and second-order difference plots
This paper presents a new method for analysis of center of pressure (COP) signals using Empirical Mode Decomposition (EMD). The EMD decomposes a COP signal into a finite set of b...
Ram Bilas Pachori, David J. Hewson, Hichem Snoussi...
ICSE
2004
IEEE-ACM
14 years 8 months ago
An Empirical Comparison of Dynamic Impact Analysis Algorithms
Impact analysis -- determining the potential effects of changes on a software system -- plays an important role in software engineering tasks such as maintenance, regression testi...
Alessandro Orso, Taweesup Apiwattanapong, James La...