Submit a Manuscript

Journal of Information Systems Engineering and Management

Applying Absolute Residuals as Evaluation Criterion for Estimating the Development Time of Software Projects by Means of a Neuro-Fuzzy Approach
Noel García-Díaz 1 2 * , Alberto Verduzo-Ramirez 1 2, Juan Garcia-Virgen 1 2, Lilia Muñoz 3
More Detail
1 Instituto Tecnológico de Colima, MÉXICO
2 Universidad de Colima, MÉXICO
3 Universidad Tecnológica de Panamá, REPUBLICA DE PANAMÁ
* Corresponding Author
Full Text (PDF)
Research Article

Journal of Information Systems Engineering and Management, 2016 - Volume 1 Issue 4, Article No: 46
https://doi.org/10.20897/lectito.201646

Published Online: 04 Nov 2016

Views: 3690 | Downloads: 1621

Open Access
How to cite this article
APA 6th edition
In-text citation: (García-Díaz et al., 2016)
Reference: García-Díaz, N., Verduzo-Ramirez, A., Garcia-Virgen, J., & Muñoz, L. (2016). Applying Absolute Residuals as Evaluation Criterion for Estimating the Development Time of Software Projects by Means of a Neuro-Fuzzy Approach. Journal of Information Systems Engineering and Management, 1(4), 46. https://doi.org/10.20897/lectito.201646
Vancouver
In-text citation: (1), (2), (3), etc.
Reference: García-Díaz N, Verduzo-Ramirez A, Garcia-Virgen J, Muñoz L. Applying Absolute Residuals as Evaluation Criterion for Estimating the Development Time of Software Projects by Means of a Neuro-Fuzzy Approach. J INFORM SYSTEMS ENG. 2016;1(4):46. https://doi.org/10.20897/lectito.201646
AMA 10th edition
In-text citation: (1), (2), (3), etc.
Reference: García-Díaz N, Verduzo-Ramirez A, Garcia-Virgen J, Muñoz L. Applying Absolute Residuals as Evaluation Criterion for Estimating the Development Time of Software Projects by Means of a Neuro-Fuzzy Approach. J INFORM SYSTEMS ENG. 2016;1(4), 46. https://doi.org/10.20897/lectito.201646
Chicago
In-text citation: (García-Díaz et al., 2016)
Reference: García-Díaz, Noel, Alberto Verduzo-Ramirez, Juan Garcia-Virgen, and Lilia Muñoz. "Applying Absolute Residuals as Evaluation Criterion for Estimating the Development Time of Software Projects by Means of a Neuro-Fuzzy Approach". Journal of Information Systems Engineering and Management 2016 1 no. 4 (2016): 46. https://doi.org/10.20897/lectito.201646
Harvard
In-text citation: (García-Díaz et al., 2016)
Reference: García-Díaz, N., Verduzo-Ramirez, A., Garcia-Virgen, J., and Muñoz, L. (2016). Applying Absolute Residuals as Evaluation Criterion for Estimating the Development Time of Software Projects by Means of a Neuro-Fuzzy Approach. Journal of Information Systems Engineering and Management, 1(4), 46. https://doi.org/10.20897/lectito.201646
MLA
In-text citation: (García-Díaz et al., 2016)
Reference: García-Díaz, Noel et al. "Applying Absolute Residuals as Evaluation Criterion for Estimating the Development Time of Software Projects by Means of a Neuro-Fuzzy Approach". Journal of Information Systems Engineering and Management, vol. 1, no. 4, 2016, 46. https://doi.org/10.20897/lectito.201646
ABSTRACT
In the software development field, software practitioners expend between 30% and 40% more effort than is predicted. Accordingly, researchers have proposed new models for estimating the development effort such that the estimations of these models are close to actual ones. In this study, an application based on a new neuro-fuzzy system (NFS) is analyzed. The NFS accuracy was compared to that of a statistical multiple linear regression (MLR) model. The criterion for evaluating the accuracy of estimation models has mainly been the Magnitude of Relative Error (MRE), however, it was recently found that MRE is asymmetric, and the use of Absolute Residuals (AR) has been proposed, therefore, in this study, the accuracy results of the NFS and MLR were based on AR. After a statistical paired t-test was performed, results showed that accuracy of the New-NFS is statistically better than that of the MLR at the 99% confidence level. It can be concluded that a new-NFS could be used for predicting the effort of software development projects when they have been individually developed on a disciplined process.
KEYWORDS
Artificial neural networks fuzzy logic neuro-fuzzy system Software effort estimation absolute residuals
REFERENCES
---
LICENSE
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
All Rights Reserved © 2016-2021