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Authors: Manal El Bajta and Ali Idri

Affiliation: Software Project Management Research Team, ENSIAS, Mohammed V University of Rabat and Morocco

ISBN: 978-989-758-379-7

Keyword(s): Software Cost Estimation, Global Software Development, Taxonomy.

Abstract: Nowadays, software cost estimation plays an important role in the management and development of distributed projects. The state of the art and cost estimation practice for Global Software Development (GSD) have recently been identified. This knowledge has still not been structured. The objective of this paper is to structure the knowledge about cost estimation for GSD. We used a design method to organize the knowledge identified as a cost estimation taxonomy for GSD. The proposed taxonomy offers a classification scheme for the cost estimation of distributed projects. The cost estimation taxonomy consists of four dimensions: cost estimation context, estimation technique, cost estimate and cost estimators. Each dimension in turn has multiple facets. The taxonomy could then be used as a tool to developing a repository for cost estimation knowledge.

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Paper citation in several formats:
El Bajta, M. and Idri, A. (2019). A Software Cost Estimation Taxonomy for Global Software Development Projects.In Proceedings of the 14th International Conference on Software Technologies - Volume 1: ICSOFT, ISBN 978-989-758-379-7, pages 218-225. DOI: 10.5220/0007841202180225

@conference{icsoft19,
author={Manal El Bajta. and Ali Idri.},
title={A Software Cost Estimation Taxonomy for Global Software Development Projects},
booktitle={Proceedings of the 14th International Conference on Software Technologies - Volume 1: ICSOFT,},
year={2019},
pages={218-225},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0007841202180225},
isbn={978-989-758-379-7},
}

TY - CONF

JO - Proceedings of the 14th International Conference on Software Technologies - Volume 1: ICSOFT,
TI - A Software Cost Estimation Taxonomy for Global Software Development Projects
SN - 978-989-758-379-7
AU - El Bajta, M.
AU - Idri, A.
PY - 2019
SP - 218
EP - 225
DO - 10.5220/0007841202180225

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