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GECCO
2008
Springer
172views Optimization» more  GECCO 2008»
14 years 10 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
DATE
2005
IEEE
172views Hardware» more  DATE 2005»
15 years 3 months ago
Evolutionary Optimization in Code-Based Test Compression
We provide a general formulation for the code-based test compression problem with fixed-length input blocks and propose a solution approach based on Evolutionary Algorithms. In c...
Ilia Polian, Alejandro Czutro, Bernd Becker
GECCO
2004
Springer
197views Optimization» more  GECCO 2004»
15 years 2 months ago
Applying Evolutionary Testing to Search for Critical Defects
Software systems are used regularly in safety-relevant applications. Therefore, the occurrence of critical defects may not only cause costly recalls but may also endanger human liv...
André Baresel, Harmen Sthamer, Joachim Wege...
FORTE
1997
14 years 10 months ago
Refusal Testing for Classes of Transition Systems with Inputs and Outputs
This paper presents a testing theory that is parameterised with assumptions about the way implementations communicate with their environment. In this way some existing testing the...
Lex Heerink, Jan Tretmans
ICARIS
2007
Springer
15 years 3 months ago
Immune and Evolutionary Approaches to Software Mutation Testing
We present an Immune Inspired Algorithm, based on CLONALG, for software test data evolution. Generated tests are evaluated using the mutation testing adequacy criteria, and used to...
Peter May, Jon Timmis, Keith Mander