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Authors: Efi Papatheocharous 1 ; Angela Iasonos 1 and Andreas S. Andreou 2

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

Keyword(s): Software Cost Estimation, Genetic Programming.

Related Ontology Subjects/Areas/Topics: Databases and Information Systems Integration ; Enterprise Information Systems ; Information Systems Analysis and Specification ; Software Engineering ; Software Measurement

Abstract: This paper investigates the utilization of Genetic Programming (GP) as a method to facilitate better software cost modeling and estimation. The aim is to produce and examine candidate solutions in the form of representations that utilize operators and operands, which are then used in algorithmic cost estimation. These solutions essentially constitute regression equations of software cost factors, used to effectively estimate the dependent variable, that is, the effort spent for developing software projects. The GP application generates representative rules through which the usefulness of various project characteristics as explanatory variables, and ultimately as predictors of development effort is investigated. The experiments conducted are based on two publicly available empirical datasets typically used in software cost estimation and indicate that the proposed approach provides consistent and successful results.

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Paper citation in several formats:
Papatheocharous, E.; Iasonos, A. and S. Andreou, A. (2010). A GENETIC PROGRAMMING APPROACH TO SOFTWARE COST MODELING AND ESTIMATION. In Proceedings of the 12th International Conference on Enterprise Information Systems - Volume 3: ICEIS; ISBN 978-989-8425-04-1; ISSN 2184-4992, SciTePress, pages 281-287. DOI: 10.5220/0002911602810287

@conference{iceis10,
author={Efi Papatheocharous. and Angela Iasonos. and Andreas {S. Andreou}.},
title={A GENETIC PROGRAMMING APPROACH TO SOFTWARE COST MODELING AND ESTIMATION},
booktitle={Proceedings of the 12th International Conference on Enterprise Information Systems - Volume 3: ICEIS},
year={2010},
pages={281-287},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002911602810287},
isbn={978-989-8425-04-1},
issn={2184-4992},
}

TY - CONF

JO - Proceedings of the 12th International Conference on Enterprise Information Systems - Volume 3: ICEIS
TI - A GENETIC PROGRAMMING APPROACH TO SOFTWARE COST MODELING AND ESTIMATION
SN - 978-989-8425-04-1
IS - 2184-4992
AU - Papatheocharous, E.
AU - Iasonos, A.
AU - S. Andreou, A.
PY - 2010
SP - 281
EP - 287
DO - 10.5220/0002911602810287
PB - SciTePress

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