loading
Documents

Research.Publish.Connect.

Paper

Authors: Salma El Koutbi and Ali Idri

Affiliation: University Mohammed V, Morocco

ISBN: 978-989-758-250-9

Keyword(s): Error Software Effort Estimation, Entropy, Fuzzy C-Means Algorithm, Fuzzy Analogy.

Abstract: Software engineering community often investigates the error concerning software development effort estimation as a part, and sometimes, as an improvement of an effort estimation technique. The aim of this paper is to propose an approach dealing with both model and attributes measurement error sources whatever the effort estimation technique used. To do that, we explore the concepts of entropy and fuzzy clustering to propose a new framework to cope with both error sources. The proposed framework has been evaluated with the COCOMO’81 dataset and the Fuzzy Analogy effort estimation technique. The results are promising since the actual confidence interval percentages are closer to those proposed by the framework.

PDF ImageFull Text

Download
CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 34.204.194.190

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
El Koutbi, S. and Idri, A. (2017). Entropy-based Framework Dealing with Error in Software Development Effort Estimation.In Proceedings of the 12th International Conference on Evaluation of Novel Approaches to Software Engineering - Volume 1: ENASE, ISBN 978-989-758-250-9, pages 195-202. DOI: 10.5220/0006312901950202

@conference{enase17,
author={Salma El Koutbi. and Ali Idri.},
title={Entropy-based Framework Dealing with Error in Software Development Effort Estimation},
booktitle={Proceedings of the 12th International Conference on Evaluation of Novel Approaches to Software Engineering - Volume 1: ENASE,},
year={2017},
pages={195-202},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006312901950202},
isbn={978-989-758-250-9},
}

TY - CONF

JO - Proceedings of the 12th International Conference on Evaluation of Novel Approaches to Software Engineering - Volume 1: ENASE,
TI - Entropy-based Framework Dealing with Error in Software Development Effort Estimation
SN - 978-989-758-250-9
AU - El Koutbi, S.
AU - Idri, A.
PY - 2017
SP - 195
EP - 202
DO - 10.5220/0006312901950202

Login or register to post comments.

Comments on this Paper: Be the first to review this paper.