Parsed use case descriptions as a basis for object-oriented class model generation

Elbendak, Mosa, Vickers, Paul and Rossiter, Nick (2011) Parsed use case descriptions as a basis for object-oriented class model generation. Journal of Systems and Software, 84 (7). pp. 1209-1223. ISSN 0164-1212

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Object-oriented analysis and design has become a major approach in the design of software systems. Recent developments in CASE tools provide help in documenting the analysis and design stages and in detecting incompleteness and inconsistency in analysis. However, these tools do not contribute to the initial and difficult stage of the analysis process of identifying the objects/classes, attributes and relationships used to model the problem domain. This paper presents a tool, Class-Gen, which can partially automate the identification of objects/classes from natural language requirement specifications for object identification. Use case descriptions (UCDs) provide the input to Class-Gen which parses and analyzes the text written in English. A parsed use case description (PUCD) is generated which is then used as the basis for the construction of an initial UML class model representing object classes and relationships identified in the requirements. PUCDs enable the extraction of nouns, verbs, adjectives and adverbs from traditional UCDs for the identification process. Finally Class-Gen allows the initial class model to be refined manually. Class-Gen has been evaluated against a collection of unseen requirements. The results of the evaluation are encouraging as they demonstrate the potential for such tools to assist with the software development process.

Item Type: Article
Uncontrolled Keywords: Requirements specifications, object-oriented, parsing, analysis, natural language processing
Subjects: G400 Computer Science
G500 Information Systems
G600 Software Engineering
Department: Faculties > Engineering and Environment > Computer and Information Sciences
Depositing User: Ellen Cole
Date Deposited: 09 Dec 2011 10:34
Last Modified: 13 Oct 2019 00:31

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