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A review of software surveys on software effort estimation

Authors: K. Molokken; M. Jorgensen;

A review of software surveys on software effort estimation

Abstract

This paper summarizes estimation knowledge through a review of surveys on software effort estimation. Main findings were that: (1) most projects (60-80%) encounter effort and/or schedule overruns. The overruns, however, seem to be lower than the overruns reported by some consultancy companies. For example, Standish Group's "Chaos Report" describes an average cost overrun of 89%, which is much higher than the average overruns found in other surveys, i.e. 3040%. (2) The estimation methods in most frequent use of expert judgment is that there is no evidence that formal estimation models lead to more accurate estimates. (3) There is a lack of surveys including extensive analyses of the reasons for effort and schedule overruns.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
130
Top 1%
Top 1%
Top 10%
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