Effort estimation in information systems projects using data mining techniques

  • Authors:

  • Joaquín Villanueva-Balsera;Francisco Ortega-Fernandez;Vicente Rodríguez-Montequín;Ramiro Concepción-Suárez

  • Affiliations:

  • Project Engineering Area, University of Oviedo, ETSIMO, Oviedo, España;Project Engineering Area, University of Oviedo, ETSIMO, Oviedo, España;Project Engineering Area, University of Oviedo, ETSIMO, Oviedo, España;Project Engineering Area, University of Oviedo, ETSIMO, Oviedo, España

  • Venue:
  • ICCOMP'09 Proceedings of the WSEAES 13th international conference on Computers
  • Year:
  • 2009

Quantified Score

Hi-index 0.00

Visualization

Abstract

Project scheduling is a crucial task that can lead to project failure due to the lengthening of its duration or a wrong estimation of the needed effort to implement it. It is necessary to have available a tool that help us learn more about the project in order to choose the influential attributes on the project deviations and also to provide us with more accurate estimations. This paper analyses the feasibility and the advantages of the development of a system based on Artificial Intelligence techniques capable of selecting the attributes that affect the project duration and the effort it requires to make it possible through a data set of software projects historical information, against current techniques. To do that, it is proposed a method for the analysis of existing data set and their pre-processing, to obtain a model that can meet the project manager standards.