Forecasting of Software Development Work Effort: Introduction

2 Pages Posted: 9 Aug 2010

See all articles by J. Scott Armstrong

J. Scott Armstrong

University of Pennsylvania - Marketing Department

Date Written: January 1, 2007

Abstract

Jørgensen’s paper examines the application of the one of the most well established findings in forecasting – namely, the superior accuracy of quantitative models in comparison to judgmental forecasts. Models improved accuracy in 72% of the 136 studies in the meta-analysis by Grove, et al. (2000). However, in Jørgensen’s metaanalysis, restricted to forecasts of software effort, models were superior for only 38% of the studies.

Suggested Citation

Armstrong, J. Scott, Forecasting of Software Development Work Effort: Introduction (January 1, 2007). International Journal of Forecasting, Vol. 23, p. 447, 2007. Available at SSRN: https://ssrn.com/abstract=1656065

J. Scott Armstrong (Contact Author)

University of Pennsylvania - Marketing Department ( email )

700 Jon M. Huntsman Hall
3730 Walnut Street
Philadelphia, PA 19104-6340
United States
215-898-5087 (Phone)
215-898-2534 (Fax)

HOME PAGE: http://marketing.wharton.upenn.edu/people/faculty/armstrong.cfm

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