Using probability models to classify software patterns

We propose an approach for creating software design patterns classification scheme based on probability models and statistical methods used in information retrieval domain. The approach looks for a set of words, phrases, and topics, i.e. concepts embedded or represented by words and phrases that describe the pattern. We also present a process that generates a list of terms, associate each list with a pattern category, and search the resulting list with user queries to select a particular pattern.