Details

Autor(en) / Beteiligte

• Moses, John
• Farrow, Malcolm
• Parrington, Norman
• Smith, Peter

Titel

A productivity benchmarking case study using Bayesian credible intervals

Ist Teil von

• Software quality journal, 2006-03, Vol.14 (1), p.37-52

Ort / Verlag

Dordrecht: Springer Nature B.V

Erscheinungsjahr

2006

Quelle

Alma/SFX Local Collection

Beschreibungen/Notizen

• 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. [PUBLICATION ABSTRACT]