Forecasting of Software Development Work Effort : Introduction

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

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Year of publication:	2011
Authors:	Armstrong, J. Scott
Publisher:	[S.l.] : SSRN
Subject:	Softwareentwicklung \| Software development \| Prognoseverfahren \| Forecasting model \| Software

Extent:	1 Online-Ressource (2 p)
Type of publication:	Book / Working Paper
Language:	English
Notes:	In: International Journal of Forecasting, Vol. 23, p. 447, 2007 Nach Informationen von SSRN wurde die ursprüngliche Fassung des Dokuments January 1, 2007 erstellt
Source:	ECONIS - Online Catalogue of the ZBW

Persistent link: https://www.econbiz.de/10014044866