A Semantic Approach for Automatic Structuring and Analysis of Software Process Patterns
This addresses the challenge of standardizing software process patterns for developers and engineers, though it appears incremental as it builds on existing NLP techniques.
The paper tackled the problem of unifying unstructured software process patterns expressed in different formats and forms by proposing a novel semantic approach based on Natural Language Processing, implemented using the GATE framework and evaluated with high-quality results.
The main contribution of this paper, is to propose a novel semantic approach based on a Natural Language Processing technique in order to ensure a semantic unification of unstructured process patterns which are expressed not only in different formats but also, in different forms. This approach is implemented using the GATE text engineering framework and then evaluated leading up to high-quality results motivating us to continue in this direction.