Abstract
In any manufacturing environment, the fault introduction rate might be considered one of the most meaningful criterion to evaluate the goodness of the development process. In many investigations, the estimates of such a rate are often oversimplified or misunderstood generating unrealistic expectations on the prediction power of regression models with a fault criterion. The computation of fault introduction rates in software development requires accurate and consistent measurement, which translates into demanding parallel efforts for the development organization. This paper presents the techniques and mechanisms that can be implemented in a software development organization to provide a consistent method of anticipating fault content and structural evolution across multiple projects over time. The initial estimates of fault introduction rates can serve as a baseline against which future projects can be compared to determine whether progress is being made in reducing the fault introduction rate, and to identify those development techniques that seem to provide the greatest reduction.
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Elbaum, S.G., Munson, J.C. Software Evolution and the Code Fault Introduction Process. Empirical Software Engineering 4, 241–262 (1999). https://doi.org/10.1023/A:1009830727593
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DOI: https://doi.org/10.1023/A:1009830727593