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» Studying Software Evolution for Taming Software Complexity
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TSE
2012
11 years 10 months ago
Does Software Process Improvement Reduce the Severity of Defects? A Longitudinal Field Study
— As firms increasingly rely on information systems to perform critical functions the consequences of software defects can be catastrophic. Although the software engineering lite...
Donald E. Harter, Chris F. Kemerer, Sandra Slaught...
BMCBI
2011
13 years 2 months ago
PhyloSim - Monte Carlo simulation of sequence evolution in the R statistical computing environment
Background: The Monte Carlo simulation of sequence evolution is routinely used to assess the performance of phylogenetic inference methods and sequence alignment algorithms. Progr...
Botond Sipos, Tim Massingham, Gregory E. Jordan, N...
IWPSE
2007
IEEE
14 years 1 months ago
Structural analysis and visualization of C++ code evolution using syntax trees
We present a method to detect and visualize evolution patterns in C++ source code. Our method consists of three steps. First, we extract an annotated syntax tree (AST) from each v...
Fanny Chevalier, David Auber, Alexandru Telea
SCAM
2008
IEEE
14 years 1 months ago
The Evolution and Decay of Statically Detected Source Code Vulnerabilities
The presence of vulnerable statements in the source code is a crucial problem for maintainers: properly monitoring and, if necessary, removing them is highly desirable to ensure h...
Massimiliano Di Penta, Luigi Cerulo, Lerina Aversa...
ML
2000
ACM
244views Machine Learning» more  ML 2000»
13 years 7 months ago
Learnable Evolution Model: Evolutionary Processes Guided by Machine Learning
A new class of evolutionary computation processes is presented, called Learnable Evolution Model or LEM. In contrast to Darwinian-type evolution that relies on mutation, recombinat...
Ryszard S. Michalski