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Generating natural language specifications from UML class diagrams

Meziane, F; Athanasakis, N; Ananiadou, S

Authors

F Meziane

N Athanasakis

S Ananiadou



Abstract

Early phases of software development are known to be problematic, difficult to manage and errors occurring during these phases are expensive to correct. Many systems have been developed to aid the transition from informal Natural Language requirements to semistructured or formal specifications. Furthermore, consistency checking is seen by many software engineers as the solution to reduce the number of errors occurring during the software development life cycle and allow early verification and validation of software systems. However, this is confined to the models developed during analysis and design and fails to include the early Natural Language requirements. This excludes proper user involvement and creates a gap between the original requirements and the updated and modified models and implementations of the system. To improve this process, we propose a system that generates Natural Language specifications from UML class diagrams. We first investigate the variation of the input language used in naming the components of a class diagram based on the study of a large number of examples from the literature and then develop rules for removing ambiguities in the subset of Natural Language used within UML. We use WordNet,a linguistic ontology, to disambiguate the lexical structures of the UML string names and generate semantically sound sentences. Our system is developed in Java and is tested on an independent though academic case study.

Citation

Meziane, F., Athanasakis, N., & Ananiadou, S. (2008). Generating natural language specifications from UML class diagrams. Requirements Engineering, 13(1), 1-18. https://doi.org/10.1007/s00766-007-0054-0

Journal Article Type Article
Publication Date Jan 1, 2008
Deposit Date Jan 16, 2009
Publicly Available Date Jan 16, 2009
Journal Requirements Engineering Journal
Print ISSN 0947-3602
Publisher Springer Verlag
Peer Reviewed Peer Reviewed
Volume 13
Issue 1
Pages 1-18
DOI https://doi.org/10.1007/s00766-007-0054-0
Publisher URL http://dx.doi.org/10.1007/s00766-007-0054-0
Related Public URLs http://www.springerlink.com/home/main.mpx
http://www.springer.com/computer/programming/journal/766
Additional Information Additional Information : The original publication is available at www.springerlink.com

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