Paper Info
Title
An evolutionary and adaptive approach for n-version programming
Abstract
In this paper a concept is described to further improve the dependability characteristics of n-version systems. As one part of this strategy, we introduce an adaptive version management scheme. It is based on the use of dynamically changeable weight factors associated to the different versions of the system. Additionally, we propose to use a specific evolutionary scheme of design diversity combining n-version programming with genetic algorithms. Moreover, an additionally introduced segmentation scheme allows the combination of this strategy with recovery approaches
Year
DOI
Venue
2001
10.1109/EURMIC.2001.952453
Warsaw
Keywords
Field
DocType
configuration management,genetic algorithms,programming,redundancy,software fault tolerance,GA,adaptive version management scheme,dependability characteristics,design diversity,dynamically changeable weight factors,evolutionary approach,genetic algorithms,multiversion programming,n-version programming,segmentation scheme
Dependability,Software design,Algorithm design,Computer science,N-version programming,Genetic programming,Theoretical computer science,Evolutionary programming,Application software,Genetic algorithm
Conference
ISSN
ISBN
Citations 
1089-6503
0-7695-1236-4
3
PageRank 
References 
Authors
0.44
4
3
Name
Order
Citations
PageRank
Karl-erwin Großpietsch114935.98
Alexander B. Romanovsky238641.97
Grosspietsch, K.-E.3325.02