Abstract
We suggest guidelines for analyses of the software development project data sets. They consist of practical hypotheses based on the project data sets, mathematical models, statistical verification methods, and interpretations of the results. This paper describes how to improve models and hypotheses with relevant example patterns of hypotheses.