RT Conference Proceedings
T1 Applying data mining to software development projects : a case study
A1 Mata Vázquez, Jacinto
A1 Álvarez Macías, José Luis
A1 Riquelme Santos, José Cristóbal
A1 Ramos, Isabel
AB One of the main challenges that the project managers have during the building process of a software developmentproject (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 appearanceof dynamic models and simulation environments. The application of data mining techniques to the managingof Software Development Projects (SDP) is not an uncommon phenomenon, as in any other productive processthat generates information in the way of input data and output variables. In this paper, we present and analyzethe 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 engineeringfield is the possibility of improving the management process of an SDP. The purpose is to provide accuratedecision rules in order to help the project manager to take decisions during the development.
PB ScitePress
YR 2004
FD 2004
LK http://hdl.handle.net/10272/15482
UL http://hdl.handle.net/10272/15482
LA eng
NO Mata J., Luis Álvarez J., Cristóbal Riquelme J. and Ramos I. (2004). Applying data mining to software development projects : a case study. En: 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
DS Repositorio Institucional de la Universidad de Huelva
RD 30 may 2026