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

摘要

Accurate and early estimations are essential for effective decision making in software project management. Nowadays, classical estimationmodels are being replaced by data mining models due to their application simplicity and the rapid production of profitableresults. In this work, a method for mining association rules that relate project attributes is proposed. It deals with the problem of discretizingcontinuous data in order to generate a manageable number of high confident association rules. The method was validated byapplying it to data from a Software Project Simulator. The association model obtained allows us to estimate the influence of certainmanagement policy factors on various software project attributes simultaneously.