|   | 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 Informationabout  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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