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

Authors:
María N. Moreno García;Isabel Ramos Román;Francisco J. García Peñalvo;Miguel Toro Bonilla
Affiliations:
Dept. Informática y Automática, University of Salamanca, Plaza Merced s/n, 37008 Salamanca, Spain;Dept. Lenguajes y Sistemas Informáticos, University of Sevilla, Avda. Reina Mercedes s/n, 41012 Sevilla, Spain;Dept. Informática y Automática, University of Salamanca, Plaza Merced s/n, 37008 Salamanca, Spain;Dept. Lenguajes y Sistemas Informáticos, University of Sevilla, Avda. Reina Mercedes s/n, 41012 Sevilla, Spain
Venue:
Expert Systems with Applications: An International Journal
Year:
2008

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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.