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» Studying Software Evolution for Taming Software Complexity
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IPPS
2006
IEEE
14 years 1 months ago
Sim-X: parallel system software for interactive multi-experiment computational studies
Advances in high-performance computing have led to the broad use of computational studies in everyday engineering and scientific applications. A single study may require thousand...
Siu-Man Yau, Eitan Grinspun, Vijay Karamcheti, Den...
CEC
2008
IEEE
14 years 2 months ago
Automatic model type selection with heterogeneous evolution: An application to RF circuit block modeling
— Many complex, real world phenomena are difficult to study directly using controlled experiments. Instead, the use of computer simulations has become commonplace as a cost effe...
Dirk Gorissen, Luciano De Tommasi, Jeroen Croon, T...
BMCBI
2010
115views more  BMCBI 2010»
13 years 7 months ago
CONAN: copy number variation analysis software for genome-wide association studies
Background: Genome-wide association studies (GWAS) based on single nucleotide polymorphisms (SNPs) revolutionized our perception of the genetic regulation of complex traits and di...
Lukas Forer, Sebastian Schönherr, Hansi Wei&s...
IJSEKE
2000
111views more  IJSEKE 2000»
13 years 7 months ago
An Approach to Quantitative Software Architecture Sensitivity Analysis
Software architectures are often claimed to be robust. However, there is no explicit and concrete definition of software architecture robustness. This paper gives a definition of ...
Chung-Horng Lung, Kalai Kalaichelvan
WS
2010
ACM
13 years 5 months ago
Semantic web enabled software analysis
One of the most important decisions researchers face when analyzing software systems is the choice of a proper data analysis/exchange format. In this paper, we present EvoOnt, a s...
Jonas Tappolet, Christoph Kiefer, Abraham Bernstei...