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Authors: Simos Gerasimou 1 ; Constantinos Stylianou 2 and Andreas S. Andreou 1

Affiliations: 1 Cyprus University of Technology, Cyprus ; 2 University of Cyprus, Cyprus

ISBN: 978-989-8565-11-2

ISSN: 2184-4992

Keyword(s): Software Project Management, Project Scheduling, Team Staffing, Particle Swarm Optimization.

Related Ontology Subjects/Areas/Topics: Applications ; Artificial Intelligence and Decision Support Systems ; Enterprise Information Systems ; Evolutionary Programming ; Information Systems Analysis and Specification ; Operational Research ; Project Management ; Scheduling and Planning ; Software Engineering

Abstract: Software development organizations often struggle to deliver projects on time, within budget and with the required quality. One possible cause of this problem is poor software project management and, in particular, inadequate project scheduling and ineffective team staffing. This paper investigates the application of a particle swarm optimization algorithm to help software project managers perform these activities effectively. Specifically, the proposed approach aims to create optimal project schedules by specifying the best sequence for executing a project’s tasks and minimizing the total project duration. Simultaneously, it seeks to form skilful and productive working teams with the best utilization of developer skills. These considerations have been suitably encoded into the algorithm, with several hard constraints and objective functions appropriately formulated so as to assess the generated solutions with respect to their feasibility and also their quality. The initial results o btained are quite encouraging for the majority of the performed tests and indicate that the proposed approach is able to deal with the issues of scheduling and staffing in software project management. (More)

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Paper citation in several formats:
Gerasimou, S.; Stylianou, C. and S. Andreou, A. (2012). An Investigation of Optimal Project Scheduling and Team Staffing in Software Development using Particle Swarm Optimization. In Proceedings of the 14th International Conference on Enterprise Information Systems - Volume 1: ICEIS, ISBN 978-989-8565-11-2; ISSN 2184-4992, pages 168-171. DOI: 10.5220/0004001001680171

@conference{iceis12,
author={Simos Gerasimou. and Constantinos Stylianou. and Andreas {S. Andreou}.},
title={An Investigation of Optimal Project Scheduling and Team Staffing in Software Development using Particle Swarm Optimization},
booktitle={Proceedings of the 14th International Conference on Enterprise Information Systems - Volume 1: ICEIS,},
year={2012},
pages={168-171},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004001001680171},
isbn={978-989-8565-11-2},
issn={2184-4992},
}

TY - CONF

JO - Proceedings of the 14th International Conference on Enterprise Information Systems - Volume 1: ICEIS,
TI - An Investigation of Optimal Project Scheduling and Team Staffing in Software Development using Particle Swarm Optimization
SN - 978-989-8565-11-2
IS - 2184-4992
AU - Gerasimou, S.
AU - Stylianou, C.
AU - S. Andreou, A.
PY - 2012
SP - 168
EP - 171
DO - 10.5220/0004001001680171

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