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An association rule mining method for estimating the impact of project management policies on software quality, development time and effort

 

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Opened Access An association rule mining method for estimating the impact of project management policies on software quality, development time and effort
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Author: Moreno García, María N.
Ramos Román, Isabel
García Peñalvo, Francisco J.
Toro Bonilla, Miguel
Department: Universidad de Sevilla. Departamento de Lenguajes y Sistemas Informáticos
Date: 2008
Published in: Expert Systems with Applications, 34 (1), 522-529.
Document type: Article
Abstract: Accurate and early estimations are essential for effective decision making in software project management. Nowadays, classical estimation models are being replaced by data mining models due to their application simplicity and the rapid production of profitable results. In this work, a method for mining association rules that relate project attributes is proposed. It deals with the problem of discretizing continuous data in order to generate a manageable number of high confident association rules. The method was validated by applying it to data from a Software Project Simulator. The association model obtained allows us to estimate the influence of certain management policy factors on various software project attributes simultaneously.
Cite: Moreno García, M.N., Ramos Román, I., García Peñalvo, F.J. y Toro Bonilla, M. (2008). An association rule mining method for estimating the impact of project management policies on software quality, development time and effort. Expert Systems with Applications, 34 (1), 522-529.
Size: 1.071Mb
Format: PDF

URI: http://hdl.handle.net/11441/59115

DOI: 10.1016/j.eswa.2006.09.022

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