Abstract
According to Bansiya [18], internal quality indicators influence external quality attributes and, therefore, evaluating a product’s internal characteristics is reasonable. As a result, some useful conclusions can be drawn about the product’s external quality attributes on the basis of its internal characteristics [18]. Relying on Briand et al. [31], measures of structural design properties are considered to be indicators of external system quality attributes, such as reliability or maintainability. BOegh [30] mentioned class-level metrics proposed by Chidamber and Kemerer (CK metrics) [43] as typical examples of internal measures. This chapter concentrates on the CBO , WMC and (RFC) metrics (from the CK metrics suite) as their suitability for assessing fault proneness and fault content has already been empirically confirmed (see Sect. 3.3.2.2). The question is whether those metrics, often called design complexity metrics [238], are influenced by the TF practice.
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