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GECCO
2006
Springer
130views Optimization» more  GECCO 2006»
13 years 11 months ago
Pairwise sequence comparison for fitness evaluation in evolutionary structural software testing
Evolutionary algorithms are among the metaheuristic search methods that have been applied to the structural test data generation problem. Fitness evaluation methods play an import...
H. Turgut Uyar, A. Sima Etaner-Uyar, A. Emre Harma...
GECCO
2006
Springer
162views Optimization» more  GECCO 2006»
13 years 11 months ago
Improving evolutionary real-time testing
Embedded systems are often used in a safety-critical context, e.g. in airborne or vehicle systems. Typically, timing constraints must be satisfied so that real-time embedded syste...
Marouane Tlili, Stefan Wappler, Harmen Sthamer
GECCO
2005
Springer
132views Optimization» more  GECCO 2005»
14 years 28 days ago
Evolutionary testing of state-based programs
The application of Evolutionary Algorithms to structural test data generation, known as Evolutionary Testing, has to date largely focused on programs with input-output behavior. H...
Phil McMinn, Mike Holcombe
GECCO
2009
Springer
144views Optimization» more  GECCO 2009»
14 years 1 months ago
Using automated search to generate test data for matlab
The critical functionality of many software applications relies on code that performs mathematically complex computations. However, such code is often difficult to test owing to t...
Sion Ll Rhys, Simon M. Poulding, John A. Clark
GECCO
2007
Springer
174views Optimization» more  GECCO 2007»
14 years 1 months ago
Investigating data-flow coverage of classes using evolutionary algorithms
It is not unusual for a software development organization to expend 40 percent of total project effort on testing, which can be a very laborious and time-consuming process. Thus, ...
Konstantinos Liaskos, Marc Roper, Murray Wood