Title :
An Analysis of Accuracy and Learning in Software Project Estimating
Author :
Zapata, A.H. ; Chaudron, M.R.V.
Author_Institution :
Leiden Inst. of Adv. Comput. Sci., Leiden, Netherlands
Abstract :
This paper presents a study into the accuracy of different dimensions of IT project estimating: schedule, budget & effort. The study is based on a dataset of 171 projects that have been collected at the IT-department of a large Dutch multinational company. The paper also analyses whether there is any learning (improvement) effect over time. Our results show that there is no relation between accuracy of budget, schedule and effort in the analyzed organization. Besides, they show that over time there is no change of the accuracy effectiveness and efficiency. The paper reflects and provides recommendations on how to improve the learning from historical estimates.
Keywords :
learning (artificial intelligence); project management; software management; accuracy effectiveness; efficiency; large Dutch multinational company; learning; software project estimation; Accuracy; Calibration; Estimation; Industries; Organizations; Schedules; Software; Project estimation; accuracy of estimation; budget; management; organizational learning; schedule; time;
Conference_Titel :
Software Engineering and Advanced Applications (SEAA), 2012 38th EUROMICRO Conference on
Conference_Location :
Cesme, Izmir
Print_ISBN :
978-1-4673-2451-9
DOI :
10.1109/SEAA.2012.46