A Semantic Approach for Automatic Structuring and Analysis of Software Process Patterns

TL;DR

This paper introduces a semantic method utilizing NLP techniques to unify and analyze unstructured software process patterns expressed in various formats, improving consistency and understanding.

Contribution

It presents a novel semantic approach based on NLP and GATE framework for unifying diverse software process patterns, enhancing analysis quality.

Findings

Achieved high-quality unification of process patterns

Demonstrated effectiveness of NLP-based semantic analysis

Validated approach with promising evaluation results

Abstract

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.