Paper Info
Title
A Data Mining Method to Support Decision Making in Software Development Projects
Abstract
In this paper, we present a strategy to induce know ledge as support decision making in Software Development Projects (SDP). The motive of this work is to reduce the great quantity of SDP do not meet the initial cost requirements, delivery date and the quality of the final prod uct. The main objective of this strategy is to support the manager in the decision taking to establish the policies from management when beginning a software project. Thus, we apply a data mining tool, called ELLIPSES, on databases of SDP. The databases are generated by means of the simulation of a dynamic model for the management of SDP. ELLIPSES tool is a new method oriented to discover knowledge according to the expert's needs, by the detection of the most significant regions. The method essence is found in an ev olutionary algorithm that finds these regions one after another. The expert decides which regions are sign ificant and determines the stop criterion. The extracted knowledge is offered through two types of rules: quantitative and qualitative models. The tool also offers a visualization of each rule by parallel coordinate s ystems. In order to present this strategy, ELLIPSES is applied to a database which has already been obtained by means of the simulation of a dynamic model on a project concluded.
Year
Venue
Keywords
2003
ICEIS (2)
data mining,software engineering.,dynamic models,knowledge discovery in data,parallel coordinates,software development,software engineering
DocType
Citations 
PageRank 
Conference
2
0.38
References 
Authors
6
4
Name
Order
Citations
PageRank
José Luis Álvarez Macías1103.68
Jacinto Mata Vázquez27210.51
José Cristóbal Riquelme Santos331842.86
Isabel Ramos4239.32