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ECOS: Ecological Studies of Open Source Software Ecosystems
Mens, Tom; Claes, Maelick; Grosjean, Philippe
2014
 

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Keywords :
[en] open source; [en] ecology; [en] software evolution; [en] ecosystem
Abstract :
[en] Software ecosystems, collections of projects developed by the same community, are among the most complex artefacts constructed by humans. Collaborative development of open source software (OSS) has witnessed an exponential increase in two decades. Our hypothesis is that software ecosystems bear many similarities with natural ecosystems. While natural ecosystems have been the subject of study for many decades, research on software ecosystems is more recent. For this reason, the ECOS research project aims to determine whether and how selected ecological models and theories from natural ecosystems can be adapted and adopted to understand and better explain how OSS projects (akin to biological species) evolve, and to determine what are the main factors that drive the success or popularity of these projects. Expressed in biological terms, we wish to use knowledge on the evolution of natural ecosystems to provide support aiming to optimize the fitness of OSS projects, and to increase the resistance and resilience of OSS ecosystems.
Research center :
CREMMI - Modélisation mathématique et informatique
Disciplines :
Computer science
Electrical & electronics engineering
Phytobiology (plant sciences, forestry, mycology...)
Author, co-author :
Mens, Tom  ;  Université de Mons > Faculté des Sciences > Génie Logiciel
Claes, Maelick ;  Université de Mons > Faculté des Sciences > Génie Logiciel
Grosjean, Philippe  ;  Université de Mons > Faculté des Sciences > Service d'Ecologie numérique
Language :
English
Title :
ECOS: Ecological Studies of Open Source Software Ecosystems
Publication date :
03 February 2014
Event name :
IEEE CSMR-WCRE 2014 Software Evolution Week
Event place :
Antwerpen, Belgium
Event date :
2014
Research unit :
S807 - Ecologie numérique
S852 - Génie Logiciel
Research institute :
R150 - Institut de Recherche sur les Systèmes Complexes
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