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» Software Test Data Generation using Ant Colony Optimization
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GECCO
2003
Springer
130views Optimization» more  GECCO 2003»
13 years 10 months ago
Extracting Test Sequences from a Markov Software Usage Model by ACO
The aim of the paper is to investigate methods for deriving a suitable set of test paths for a software system. The design and the possible uses of the software system are modelled...
Karl Doerner, Walter J. Gutjahr
AIRS
2006
Springer
13 years 8 months ago
A Novel Ant-Based Clustering Approach for Document Clustering
Recently, much research has been proposed using nature inspired algorithms to perform complex machine learning tasks. Ant Colony Optimization (ACO) is one such algorithm based on s...
Yulan He, Siu Cheung Hui, Yongxiang Sim
GECCO
2006
Springer
253views Optimization» more  GECCO 2006»
13 years 8 months ago
A novel approach to optimize clone refactoring activity
Achieving a high quality and cost-effective tests is a major concern for software buyers and sellers. Using tools and integrating techniques to carry out low cost testing are chal...
Salah Bouktif, Giuliano Antoniol, Ettore Merlo, Ma...
GECCO
2007
Springer
241views Optimization» more  GECCO 2007»
13 years 11 months ago
Binary ant algorithm
When facing dynamic optimization problems the goal is no longer to find the extrema, but to track their progression through the space as closely as possible. Over these kind of ov...
Carlos Fernandes, Agostinho C. Rosa, Vitorino Ramo...
GECCO
2003
Springer
13 years 10 months ago
The State Problem for Evolutionary Testing
Abstract. This paper shows how the presence of states in test objects can hinder or render impossible the search for test data using evolutionary testing. Additional guidance is re...
Phil McMinn, Mike Holcombe