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Statistical Analysis Procedures for Software Complexity Assessment Data

By Stephen G. Macdonell


This paper describes certain statistical procedures that can be used with confidence in the analysis of software product/process assessment data. Problems have occurred with this activity in the past, mainly because the nature of underlying data distributions has not been given adequate consideration. Recently, however, software engineering researchers have started to realise that more appropriate procedures, including non-parametric and robust techniques, should be used in order to obtain valid results and conclusions. Although this paper deals mainly with the relationship between software complexity and development effort, many of the comments and recommendations made are also relevant to the analysis of other software assessment data sets. 1 Introductio

Year: 1994
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