Towards Applying Text Mining Techniques on Software Quality Standards and Models
This addresses inefficiencies in software engineering for practitioners dealing with complex quality standards, though it is incremental as it applies existing text mining to a specific domain.
The authors tackled the problem of manually processing extensive textual quality standards like CMMI by applying text mining techniques, resulting in a method that provides a quick overview to accelerate understanding and selection of quality approaches.
Many of quality approaches are described in hundreds of textual pages. Manual processing of information consumes plenty of resources. In this report we present a text mining approach applied on CMMI, one well known and widely known quality approach. The text mining analysis can provide a quick overview on the scope of a quality approaches. The result of the analysis could accelerate the understanding and the selection of quality approaches.