Title :
Task Allocation Model in Globally Distributed Software Projects Using Genetic Algorithms
Author :
Fernandez, Jude ; Basavaraju, M.
Author_Institution :
Infosys Labs., Infosys, Bangalore, India
Abstract :
Several researchers have explored task allocation in depth and created decision models which focus on allocating work to different sites. In this paper we focus on allocation of individual tasks to resources across locations and propose a semi-automated, assisted model for task allocation using genetic algorithms. This mechanism has been created and tested for a project scenario.
Keywords :
genetic algorithms; project management; resource allocation; software engineering; created decision models; genetic algorithm; globally distributed software project; individual task allocation; semiautomated assisted model; Computational modeling; Conferences; Genetic algorithms; Planning; Resource management; Software; Software engineering; Genetic Algorithms; Global Software Development; Project Planning; Task Allocation;
Conference_Titel :
Global Software Engineering (ICGSE), 2012 IEEE Seventh International Conference on
Conference_Location :
Porto Alegre
Print_ISBN :
978-1-4673-2357-4
Electronic_ISBN :
978-0-7695-4787-9
DOI :
10.1109/ICGSE.2012.44
