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A productivity benchmarking case study using Bayesian credible intervals

Lookup NU author(s): Dr Malcolm Farrow

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Abstract

A productivity benchmarking case study is presented. Empirically valid evidence exists to suggest that certain project factors, such as development type and language type, influence project effort and productivity and a comparison is made taking into account these and other factors. The case study identifies a reasonably comparable set of data that was taken from a large benchmarking data repository by using the factors. This data set was then compared with the small data set presented by a company for benchmarking. The study illustrates how productivity rates might be misleading unless these factors are taken into account. Further, rather than simply giving a ratio for the company's productivity performance against the benchmark, the study shows how confidence about the company's performance can be expressed in terms of Bayesian confidence (credible) intervals for the ratio of the arithmetic means of the two data sets. © Springer Science + Business Media, Inc. 2006.


Publication metadata

Author(s): Moses J, Farrow M, Parrington N, Smith P

Publication type: Article

Publication status: Published

Journal: Software Quality Journal

Year: 2006

Volume: 14

Issue: 1

Pages: 37-52

ISSN (print): 0963-9314

ISSN (electronic): 1573-1367

Publisher: Springer New York LLC

URL: http://dx.doi.org/10.1007/s11219-006-6000-4

DOI: 10.1007/s11219-006-6000-4


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