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» Model Classifications and Automated Verification
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GECCO
2005
Springer
113views Optimization» more  GECCO 2005»
15 years 8 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
125
Voted
ISSRE
2007
IEEE
15 years 4 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
107
Voted
APSEC
1998
IEEE
15 years 6 months 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...
152
Voted
EC
2006
195views ECommerce» more  EC 2006»
15 years 2 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
15 years 7 months 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