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» Genetics as a role model for software variability management
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SLE
2009
Springer
15 years 2 months ago
Multi-view Composition Language for Software Product Line Requirements
Composition of requirements models in Software Product Line (SPL) development enables stakeholders to derive the requirements of target software products and, very important, to re...
Mauricio Alférez, João Santos, Ana M...
CSB
2005
IEEE
152views Bioinformatics» more  CSB 2005»
15 years 3 months ago
Consensus Genetic Maps: A Graph Theoretic Approach
A genetic map is an ordering of genetic markers constructed from genetic linkage data for use in linkage studies and experimental design. While traditional methods have focused on...
Benjamin G. Jackson, Srinivas Aluru, Patrick S. Sc...
72
Voted
ICSE
2000
IEEE-ACM
15 years 1 months ago
Simulation in software engineering training
Simulation is frequently used for training in many application areas like aviation and economics, but not in software engineering. We present the SESAM project which focuses on so...
Anke Drappa, Jochen Ludewig
LION
2010
Springer
209views Optimization» more  LION 2010»
15 years 2 months ago
Feature Extraction from Optimization Data via DataModeler's Ensemble Symbolic Regression
We demonstrate a means of knowledge discovery through feature extraction that exploits the search history of an optimization run. We regress a symbolic model ensemble from optimiza...
Kalyan Veeramachaneni, Katya Vladislavleva, Una-Ma...
105
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SAC
2010
ACM
15 years 4 months ago
Implementing software product lines using traits
A software product line (SPL) is a set of software systems with well-defined commonalities and variabilities that are developed by managed reuse of common artifacts. In this pape...
Lorenzo Bettini, Ferruccio Damiani, Ina Schaefer