Evaluating the Quality of Software Quality Indicators

Stuart H. Zweben
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Stuart H. Zweben: Ohio State University, Department of Computer and Information Science

A chapter in Computing Science and Statistics, 1992, pp 266-275 from Springer

Abstract: Abstract There has been no shortage of proposed indicators of software quality, but there has not been a good deal of confidence engendered by these indicators. Presumably this is because the proposed indicators fail to satisfy certain properties that are expected of them. But what are these properties? Recently, there have been several attempts to identify properties that good quality indicators should have. Some of these attempts are directed at specific areas of software quality, such as complexity or test data adequacy, while others are of a general nature. For certain properties, a subjective determination must be made in order to conclude if the property is met, while other properties can be objectively assessed. We examine some of these “meta-quality-indicators,” as they might be called. We also evaluate several well-known quality indicators, including popular (non-computational) complexity metrics and test data adequacy criteria, using these meta-quality-indicators.

Date: 1992
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-1-4612-2856-1_34

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DOI: 10.1007/978-1-4612-2856-1_34

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