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CMU-ISRI-06-122
Institute for Software Research
School of Computer Science, Carnegie Mellon University
CMU-ISRI-06-122
A Catalog of Techniques that Predict Information
about the Count of Rate of Field Defects
Paul Luo Li
December 2006
CMU-ISRI-06-122.pdf
Keywords: Software engineering, management, measurement, metrics,
software quality assurance, reliability, risk management, planning,
software reliability growth models, reliability modeling, statistical
models, defect prediction.
Quality of software in the field is an important concern for producers
of software, who
often need to predict information about the count or rate of field defects
to perform
activities to manage the quality of their software products. To help
software producers
select appropriate techniques for making such predictions, we provide
a catalog of techniques that are commonly used in the literature for
predicting information about the count or rate of field defects. This
catalog presents information on the intuition behind
each technique and its inputs, outputs, procedures, applicability, cost
of use, and quality of predictions. Finally, we discuss promising
research that addresses some of the
problems with the techniques that are commonly used today.
67 pages
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