Title
Capability-based Project Scheduling with Genetic Algorithms
Abstract
Task assignments and scheduling have always been crucial to the software development process, and the quality of those assignments will greatly influence the success of a project. During the software project management process, it is intuitive but often neglected to assign the right people to do the right task. Our earlier models, task-based model and timeline-based model, applied genetic algorithms (GAs) to software project scheduling problems. This paper extends those works by proposing a capability-based scheduling framework, in which personnel/team capability, is simulated. The new model is described along with a new GA that produces optimal or near-optimal schedules. Simulation results show that this new model enhances the ability of GA-based approaches and provides decision support under more realistic conditions.
Year
DOI
Venue
2006
10.1109/CIMCA.2006.63
CIMCA 2006: International Conference on Computational Intelligence for Modelling, Control and Automation, Jointly with IAWTIC 2006: International Conference on Intelligent Agents Web Technologies ...
Keywords
Field
DocType
genetic algorithms,capability-based scheduling framework,right people,capability-based project scheduling,new model,task-based model,software project management process,earlier model,software project scheduling problem,new ga,timeline-based model,software development process,decision support systems,project management,software project management,software engineering,project scheduling,genetic algorithm,decision support,scheduling
Schedule (project management),Computer science,Two-level scheduling,Software development process,Artificial intelligence,Project management,Distributed computing,Industrial engineering,Fair-share scheduling,Software project management,Schedule,Dynamic priority scheduling,Machine learning
Conference
Volume
Issue
ISSN
null
null
null
ISBN
Citations 
PageRank 
0-7695-2731-0
3
0.41
References 
Authors
1
2
Name
Order
Citations
PageRank
Yujia Ge1786.26
Carl Chang2121.91