Title :
A proposal for the improvement of project´s cost predictability using EVM and historical data of cost
Author :
Diniz de Souza, Adler
Author_Institution :
COPPE, Univ. Fed. do Rio de Janeiro - UFRJ, Rio de Janeiro, Brazil
Abstract :
This paper proposes an extension of the Earned Value Management - EVM technique through the integration of historical cost performance data of processes under statistical control as a means to improve the predictability of the cost of projects. The proposed technique was evaluated through a case-study in industry, which evaluated the implementation of the proposed technique in 22 software development projects Hypotheses tests with 95% significance level were performed, and the proposed technique was more accurate and more precise than the traditional technique for calculating the Cost Performance Index - CPI and Estimates at Completion - EAC.
Keywords :
project management; software cost estimation; software development management; statistical analysis; CPI; EAC; EVM technique; cost historical data; cost performance index; earned value management; estimates at completion; historical cost performance data; hypothesis tests; project cost predictability; software development projects; statistical control; Accuracy; Equations; Mathematical model; Performance analysis; Software; Stability criteria; Cost Performance Index — CPI; Earned Value Management — EVM; High Maturity; Software Metrics;
Conference_Titel :
Software Engineering (ICSE), 2013 35th International Conference on
Conference_Location :
San Francisco, CA
Print_ISBN :
978-1-4673-3073-2
DOI :
10.1109/ICSE.2013.6606740