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GECCO
2009
Springer
156views Optimization» more  GECCO 2009»
14 years 3 months ago
Insight knowledge in search based software testing
Software testing can be re-formulated as a search problem, hence search algorithms (e.g., Genetic Algorithms) can be used to tackle it. Most of the research so far has been of emp...
Andrea Arcuri
GECCO
2003
Springer
182views Optimization» more  GECCO 2003»
14 years 1 months ago
Modeling the Search Landscape of Metaheuristic Software Clustering Algorithms
Abstract. Software clustering techniques are useful for extracting architectural information about a system directly from its source code structure. This paper starts by examining ...
Brian S. Mitchell, Spiros Mancoridis
FASE
2010
Springer
14 years 3 months ago
Why the Virtual Nature of Software Makes It Ideal for Search Based Optimization
This paper1 provides a motivation for the application of search based optimization to Software Engineering, an area that has come to be known as Search Based Software Engineering (...
Mark Harman
CSDA
2006
96views more  CSDA 2006»
13 years 8 months ago
Analysis of new variable selection methods for discriminant analysis
Several methods to select variables that are subsequently used in discriminant analysis are proposed and analysed. The aim is to find from among a set of m variables a smaller sub...
Joaquín A. Pacheco, Silvia Casado, Laura N&...
GECCO
2006
Springer
130views Optimization» more  GECCO 2006»
14 years 6 days 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...