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Extracting concepts from the software requirements specification using natural language processing

Abstract

Extracting concepts from the software require¬ments is one of the first step on the way to automating the software development process. This task is difficult due to the ambiguity of the natural language used to express the requirements specification. The methods used so far consist mainly of statistical analysis of words and matching expressions with a specific ontology of the domain in which the planned software will be applicable. This article proposes a method and a tool to extract concepts based on a grammatical analysis of requirements written in English without the need to refer to specialized ontology. These concepts can be further expressed in the class model, which then can be the basis for the object-oriented analysis of the problem. This method uses natural language processing (NLP) techniques to recognize parts of speech and to divide sentences into phrases and also the WordNet dictionary to search for known concepts and recognize relationships between them.

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Details

Category:
Conference activity
Type:
publikacja w wydawnictwie zbiorowym recenzowanym (także w materiałach konferencyjnych)
Title of issue:
2018 11th International Conference on Human System Interaction (HSI) strony 1 - 6
Language:
English
Publication year:
2018
Bibliographic description:
Kuchta J., Padhiyar P.: Extracting concepts from the software requirements specification using natural language processing// 2018 11th International Conference on Human System Interaction (HSI)/ ed. Adam Bujnowski; Mariusz Kaczmarek; Jacek Rumiński : , 2018, s.1-6
DOI:
Digital Object Identifier (open in new tab) 10.1109/hsi.2018.8431221
Verified by:
Gdańsk University of Technology

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