Sciweavers

2034 search results - page 24 / 407
» On the Comparability of Software Clustering Algorithms
Sort
View
EMO
2005
Springer
110views Optimization» more  EMO 2005»
14 years 1 months ago
Parallelization of Multi-objective Evolutionary Algorithms Using Clustering Algorithms
Abstract. While Single-Objective Evolutionary Algorithms (EAs) parallelization schemes are both well established and easy to implement, this is not the case for Multi-Objective Evo...
Felix Streichert, Holger Ulmer, Andreas Zell
AI
2009
Springer
14 years 2 months ago
Exploratory Analysis of Co-Change Graphs for Code Refactoring
Abstract. Version Control Systems (VCS) have always played an essential role for developing reliable software. Recently, many new ways of utilizing the information hidden in VCS ha...
Hassan Khosravi, Recep Colak
PAMI
2008
197views more  PAMI 2008»
13 years 7 months ago
LEGClust - A Clustering Algorithm Based on Layered Entropic Subgraphs
Hierarchical clustering is a stepwise clustering method usually based on proximity measures between objects or sets of objects from a given data set. The most common proximity meas...
Jorge M. Santos, Joaquim Marques de Sá, Lu&...
IWPC
2005
IEEE
14 years 1 months ago
Clustering Software Artifacts Based on Frequent Common Changes
Changes of software systems are less expensive and less error-prone if they affect only one subsystem. Thus, clusters of artifacts that are frequently changed together are subsyst...
Dirk Beyer, Andreas Noack
BMCBI
2008
122views more  BMCBI 2008»
13 years 8 months ago
A practical comparison of two K-Means clustering algorithms
Background: Data clustering is a powerful technique for identifying data with similar characteristics, such as genes with similar expression patterns. However, not all implementat...
Gregory A. Wilkin, Xiuzhen Huang