DocumentCode :
2118568
Title :
Biological Mutualistic Models Applied to Study Open Source Software Development
Author :
Loyola, P. ; In-Young Ko
Author_Institution :
Div. of Web Sci. & Technol., Korea Adv. Inst. of Sci. & Technol., Daejeon, South Korea
Volume :
1
fYear :
2012
fDate :
4-7 Dec. 2012
Firstpage :
248
Lastpage :
253
Abstract :
The evolution of the Web has allowed the generation of several platforms for collaborative work. One of the main contributors to these advances is the Open Source initiative, in which projects are boosted to a new level of interaction and cooperation that improves their software quality and reliability. In order to understand how the group of contributors interacts with the software under development, we propose a novel methodology that adapts Lotka-Volterra-based biological models used for host-parasite interaction. In that sense, we used the concept mutualism from social parasites. Preliminary results based on experiments on the Github collaborative platform showed that Open Source phenomena can be modeled as a mutualistic system, in terms of the evolution of the population of developers and repositories.
Keywords :
biology; groupware; public domain software; software quality; software reliability; Github collaborative platform; Lotka-Volterra-based biological models; Web evolution; biological mutualistic models; collaborative work; concept mutualism; cooperation level; host-parasite interaction; interaction level; mutualistic system; open source initiative; open source phenomena; open source software development; social parasites; software quality; software reliability; open source software development; population models; web-based collaborative work;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Web Intelligence and Intelligent Agent Technology (WI-IAT), 2012 IEEE/WIC/ACM International Conferences on
Conference_Location :
Macau
Print_ISBN :
978-1-4673-6057-9
Type :
conf
DOI :
10.1109/WI-IAT.2012.228
Filename :
6511892
Link To Document :
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