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ZENODO
Dataset . 2009
License: CC BY
Data sources: Datacite
Claim

Effort Estimation: Maxwell

Research datakeyboard_double_arrow_right Dataset 21 Mar 2009Publisher:Zenodo
Authors: Yanfu Li;

doi: 10.5281/zenodo.268461

Effort Estimation: Maxwell

Abstract

Dataset for Effort Estimation Reference 1 K. D. Maxwell. 2002. Applied Statistics for Software Managers. Englewood Cliffs, NJ. Prentice-Hall. 2 P. Sentas, L. Angelis, I. Stamelos, G. Bleris. 2005. Software productivity and effort prediction with ordinal regression. Information and Software Technology, 47, 17-29. 3 Y.F. Li, M. Xie, T.N. Goh. 2009. A Study of Mutual Information Based Feature Selection for Case Based Reasoning in Software Cost Estimation. Expert Systems with Applications. 36(3), 5921-5931. 4 Y.F. Li, M. Xie, T.N. Goh. 2009. A Study on the Non-linear Adjustment for Analogy Based Software Cost Estimation. Empirical Software Engineering. In press.

Keywords

Effort, Software Engineering

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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!
views
OpenAIRE UsageCountsViews provided by UsageCounts
downloads
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1
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168
87