loading
Papers Papers/2020

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Jacinto Mata 1 ; José Luis Álvarez 1 ; José Cristóbal Riquelme 2 and Isabel Ramos 2

Affiliations: 1 Universidad de Huelva, Spain ; 2 Universidad de Sevilla, Spain

ISBN: 972-8865-00-7

ISSN: 2184-4992

Keyword(s): Software Development Project, Knowledge Discovery in Databases, Association Rules.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Artificial Intelligence and Decision Support Systems ; Biomedical Engineering ; Business Analytics ; Data Engineering ; Data Mining ; Databases and Information Systems Integration ; Datamining ; Enterprise Information Systems ; Health Information Systems ; Information Systems Analysis and Specification ; Knowledge Management ; Ontologies and the Semantic Web ; Sensor Networks ; Signal Processing ; Society, e-Business and e-Government ; Soft Computing ; Strategic Decision Support Systems ; Web Information Systems and Technologies

Abstract: One of the main challenges that the project managers have during the building process of a software development project (SDP) is to optimise the values of the parameters that measure the viability of the final process. The accomplishment of this task, something that was not easy at the beginning, was helped with the appearance of dynamic models and simulation environments. The application of data mining techniques to the managing of Software Development Projects (SDP) is not an uncommon phenomenon, as in any other productive process that generates information in the way of input data and output variables. In this paper, we present and analyze the results obtained from a tool, developed by the authors, based on a Knowledge Discovery in Databases (KDD) technique. One of the most important contributions of these techniques to the software engineering field is the possibility of improving the management process of an SDP. The purpose is to provide accurate decision rules in order to help the project manager to take decisions during the development. (More)

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 3.220.231.235

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:
Mata, J.; Luis Álvarez, J.; Cristóbal Riquelme, J. and Ramos, I. (2004). APPLYING DATA MINING TO SOFTWARE DEVELOPMENT PROJECTS: A CASE STUDY.In Proceedings of the Sixth International Conference on Enterprise Information Systems - Volume 2: ICEIS, ISBN 972-8865-00-7, pages 54-60. DOI: 10.5220/0002628200540060

@conference{iceis04,
author={Jacinto Mata and José {Luis Álvarez} and José {Cristóbal Riquelme} and Isabel Ramos},
title={APPLYING DATA MINING TO SOFTWARE DEVELOPMENT PROJECTS: A CASE STUDY},
booktitle={Proceedings of the Sixth International Conference on Enterprise Information Systems - Volume 2: ICEIS,},
year={2004},
pages={54-60},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002628200540060},
isbn={972-8865-00-7},
}

TY - CONF

JO - Proceedings of the Sixth International Conference on Enterprise Information Systems - Volume 2: ICEIS,
TI - APPLYING DATA MINING TO SOFTWARE DEVELOPMENT PROJECTS: A CASE STUDY
SN - 972-8865-00-7
AU - Mata, J.
AU - Luis Álvarez, J.
AU - Cristóbal Riquelme, J.
AU - Ramos, I.
PY - 2004
SP - 54
EP - 60
DO - 10.5220/0002628200540060

Login or register to post comments.

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