Towards a Generation of Class Diagram from User Stories in Agile Methods-Reference-Cited by-同舟云学术

Towards a Generation of Class Diagram from User Stories in Agile Methods

Published:2020 Issue: Volume:170 Page:831-837
ISSN:1877-0509
Container-title:Procedia Computer Science
language:en
Short-container-title:Procedia Computer Science

Author:

Nasiri Samia,Rhazali Yassine,Lahmer Mohammed,Chenfour Noureddine

Publisher

Elsevier BV

Subject

General Engineering

Reference11 articles.

1. Mich, L. (1996) “NL-OOPS: From Natural Language to Object Oriented Requirements Using the Natural Language Processing System LOLITA” Natural Language Engineering. https://doi.org/10.1017/S1351324996001337.

2. Mich, L., and R. Garigliano (2002) “NL-OOPS: A Requirements Analysis Tool Based on Natural Language Processing.”, in Management Information Systems.

3. Automatic Acquisition of Linguistic Patterns for Conceptual Modeling.;Zhou,2004

4. Deeptimahanti, Deva Kumar, and Muhammad Ali Babar (2009) “An Automated Tool for Generating UML Models from Natural Language Requirements.”, in ASE2009 - 24th IEEE/ACM International Conference on Automated Software Engineering. https://doi.org/10.1109/ASE.2009.48.

5. Parsed Use Case Descriptions as a Basis for Object-Oriented Class Model Generation.;Elbendak;Journal of Systems and Software,2011

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