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» Model Classifications and Automated Verification
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GECCO
2005
Springer
113views Optimization» more  GECCO 2005»
14 years 1 months ago
Search-based mutation testing for Simulink models
The efficient and effective generation of test-data from high-level models is of crucial importance in advanced modern software engineering. Empirical studies have shown that muta...
Yuan Zhan, John A. Clark
ISSRE
2007
IEEE
13 years 9 months ago
Data Mining Techniques for Building Fault-proneness Models in Telecom Java Software
This paper describes a study performed in an industrial setting that attempts to build predictive models to identify parts of a Java system with a high probability of fault. The s...
Erik Arisholm, Lionel C. Briand, Magnus Fuglerud
APSEC
1998
IEEE
14 years 4 days ago
Verifying Model Oriented Specifications through Animation
In this paper we demonstrate how light weight tools can be used to increase the level of confidence in Z specifications. In particular we outline the Pipedream approach to explori...
Edmund Kazmierczak, Michael Winikoff, Philip W. Da...
EC
2006
195views ECommerce» more  EC 2006»
13 years 7 months ago
Automated Global Structure Extraction for Effective Local Building Block Processing in XCS
Learning Classifier Systems (LCSs), such as the accuracy-based XCS, evolve distributed problem solutions represented by a population of rules. During evolution, features are speci...
Martin V. Butz, Martin Pelikan, Xavier Llorà...
WACV
2002
IEEE
14 years 23 days ago
Boosting Image Orientation Detection with Indoor vs. Outdoor Classification
Automatic detection of image orientation is a very important operation in photo image management. In this paper, we propose an automated method based on the boosting algorithm to ...
Lei Zhang, Mingjing Li, HongJiang Zhang