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» On the Comparability of Software Clustering Algorithms
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ISPASS
2006
IEEE
14 years 29 days ago
Comparing multinomial and k-means clustering for SimPoint
SimPoint is a technique used to pick what parts of the program’s execution to simulate in order to have a complete picture of execution. SimPoint uses data clustering algorithms...
Greg Hamerly, Erez Perelman, Brad Calder
PDP
2006
IEEE
14 years 29 days ago
Comparing Commodity SMP System Software with a Matrix Multiplication Benchmark
Commodity symmetric multiprocessors (SMPs), though originally intended for transaction processing, because of their availability, are now used for numerical analysis applications ...
Georgios Tsilikas, Martin Fleury
ICSM
2005
IEEE
14 years 17 days ago
Comparison of Clustering Algorithms in the Context of Software Evolution
To aid software analysis and maintenance tasks, a number of software clustering algorithms have been proposed to automatically partition a software system into meaningful subsyste...
Jingwei Wu, Ahmed E. Hassan, Richard C. Holt
CSMR
2004
IEEE
13 years 10 months ago
The Weighted Combined Algorithm: A Linkage Algorithm for Software Clustering
Software systems need to evolve as business requirements, technology and environment change. As software is modified to accommodate the required changes, its structure deteriorate...
Onaiza Maqbool, Haroon A. Babri