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GECCO
2005
Springer
113views Optimization» more  GECCO 2005»
14 years 3 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
GECCO
2008
Springer
172views Optimization» more  GECCO 2008»
13 years 11 months ago
Empirical analysis of a genetic algorithm-based stress test technique
Evolutionary testing denotes the use of evolutionary algorithms, e.g., Genetic Algorithms (GAs), to support various test automation tasks. Since evolutionary algorithms are heuris...
Vahid Garousi
KBSE
1997
IEEE
14 years 2 months ago
Genetic Algorithms for Dynamic Test Data Generation
In software testing, it is often desirable to find test inputs that exercise specific program features. To find these inputs by hand is extremely time-consuming, especially whe...
Christoph C. Michael, Gary McGraw, Michael Schatz,...
CONSTRAINTS
2006
120views more  CONSTRAINTS 2006»
13 years 9 months ago
Constraint Models for the Covering Test Problem
Covering arrays can be applied to the testing of software, hardware and advanced materials, and to the effects of hormone interaction on gene expression. In this paper we develop c...
Brahim Hnich, Steven David Prestwich, Evgeny Selen...
IOLTS
2008
IEEE
112views Hardware» more  IOLTS 2008»
14 years 4 months ago
A Modular Memory BIST for Optimized Memory Repair
An efficient on-chip infrastructure for memory test and repair is crucial to enhance yield and availability of SoCs. Most of the existing built-in self-repair solutions reuse IP-C...
Philipp Öhler, Alberto Bosio, Giorgio Di Nata...