Revealing Class Structure with Concept Lattices
WCRE '03 Proceedings of the 10th Working Conference on Reverse Engineering
Models Derived from Automatically Analyzed Textual User Requirements
SERA '06 Proceedings of the Fourth International Conference on Software Engineering Research, Management and Applications
NLDB'05 Proceedings of the 10th international conference on Natural Language Processing and Information Systems
ICFCA'05 Proceedings of the Third international conference on Formal Concept Analysis
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The challenge in the creation of RE/SE (Requirements Engineering/Software Engineering) models automatically from NL (Natural Language) description of requirements is to discover the knowledge model within the language model. In this article, we present a new approach for analyzing and processing these two models. Our approach combines two technologies: The first is NLP (Natural Language Processing) which we use to construct a graphical model of the language and of the knowledge it simultaneously carries within it. Once the model has been built, we can extract structural analogies with a DM (Domain Model). The second is FCA (Formal Concept Analysis), with which we process these structures. FCA helps us in two ways: as an analytical tool to formalize the concepts, and as a technology to structure and visualize them. A case study is provided to demonstrate the applicability of our approach.