Comparison of estimation methods of cost and duration in IT projects

Producing accurate and reliable project cost estimations at an early stage of a project’s life cycle remains a substantial challenge in the information technology field. This research benchmarks the performance of various approaches to estimating IT project effort and duration. Empirical data were g...

Full description

Saved in:
Bibliographic Details
Published in:Information and software technology 2009-04, Vol.51 (4), p.738-748
Main Authors: Berlin, Stanislav, Raz, Tzvi, Glezer, Chanan, Zviran, Moshe
Format: Article
Language:English
Subjects:
Artificial neural networks
Benchmarking
Benchmarks
Comparative analysis
Computer programs
Cost estimates
Estimating techniques
Information systems
Information technology
Project cost estimation
Project management
Regression
Software
Software engineering
Studies
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Producing accurate and reliable project cost estimations at an early stage of a project’s life cycle remains a substantial challenge in the information technology field. This research benchmarks the performance of various approaches to estimating IT project effort and duration. Empirical data were gathered from various “real-world” organizations including several prominent Israeli high-tech companies as well as from the International Software Benchmarking Standards Group (ISBSG) IT project database. The study contrasts two types of models that have been employed to estimate project duration and effort separately: linear regression estimation models and models deriving from a more novel approach based on artificial neural networks (ANNs).
ISSN:0950-5849
1873-6025
DOI:10.1016/j.infsof.2008.09.007