Measurements are essential in supporting studies on the effectiveness of software engineering tool and techniques as any other engineering discipline. Although the maximum available accuracy of a measure may depend on the measuring instrument, the quality of the measure depends on the integrity of the measuring process. In this poster we present an Empirical Investigation of the applicability of Benford's Law (Benford, 1938) and Digital Statistics (Nigrine, 1995) in the context of software engineering metrics analysis and process validation.
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