Comparison of estimation methods of cost and duration in IT projects

Stanislav Berlin, Tzvi Raz, Chanan Glezer, Moshe Zviran

Research output: Contribution to journalArticlepeer-review

60 Scopus citations

Abstract

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).

Original languageEnglish
Pages (from-to)738-748
Number of pages11
JournalInformation and Software Technology
Volume51
Issue number4
DOIs
StatePublished - 1 Apr 2009
Externally publishedYes

Keywords

  • Artificial neural networks
  • Project cost estimation
  • Regression
  • Software engineering

ASJC Scopus subject areas

  • Software
  • Information Systems
  • Computer Science Applications

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