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Modeling software evolution using biological evolution theories
Claes, Maelick; Mens, Tom; Grosjean, Philippe et al.
2013
 

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Abstract :
[en] Research on software evolution is very active, but evolutionary models and theories that properly explain why and how software systems evolve over time are still lacking. We propose to compare software ecosystems (collections of software projects with a given developer and user community) to biological ecosystems, and to adapt and apply ecological models and evolutionary theories from biology to them. This will give us better insight in how software projects evolve, and what the main factors are that drive the success or popularity of software projects in their environment. Expressed in biological terms, we wish to use knowledge on the evolution of biological ecosystems to provide support aiming to optimize the fitness, resistance and resilience of open source projects.
Disciplines :
Computer science
Author, co-author :
Claes, Maelick ;  Université de Mons > Faculté des Sciences > Génie Logiciel
Mens, Tom  ;  Université de Mons > Faculté des Sciences > Génie Logiciel
Grosjean, Philippe  ;  Université de Mons > Faculté des Sciences > Service d'Ecologie numérique
Serebrenik, Alexander ;  Université de Mons > Faculté des Sciences > Génie Logiciel
Language :
English
Title :
Modeling software evolution using biological evolution theories
Publication date :
20 May 2013
Event name :
ICSE-NIER
Event place :
San Francisco, United States
Event date :
2013
Research unit :
S807 - Ecologie numérique
S852 - Génie Logiciel
Research institute :
R150 - Institut de Recherche sur les Systèmes Complexes
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