Proceedings of the 2016 International Conference on Intelligent Control and Computer Application

Research on the Approach to Describe Scenarios Based on Refinement

Authors
Yuexia Li, Changjiang Wei
Corresponding Author
Yuexia Li
Available Online January 2016.
DOI
10.2991/icca-16.2016.102How to use a DOI?
Keywords
Software requirements, Scenarios, Metamodel, Abstraction, Refinement
Abstract

Because of the lack of research on the abstraction of scenarios in the traditional method based on scenarios, and lack of an effective method to describe scenarios. In view of this, a method was proposed to describe scenarios based on refinement. First, a new scenario metamodel based on refinement relationship was proposed to structure scenarios. According to Rolland, scenarios were divided into different abstraction levels. And a high level of abstraction scenario was refined layer by layer into some low level of abstraction scenarios through refinement technology. Finally, an example was used to describe the process of this method. The approach can meet the needs of different stakeholders and help the requirement analysis of large and complex systems.

Copyright
© 2016, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Download article (PDF)

Volume Title
Proceedings of the 2016 International Conference on Intelligent Control and Computer Application
Series
Advances in Computer Science Research
Publication Date
January 2016
ISBN
978-94-6252-154-4
ISSN
2352-538X
DOI
10.2991/icca-16.2016.102How to use a DOI?
Copyright
© 2016, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Yuexia Li
AU  - Changjiang Wei
PY  - 2016/01
DA  - 2016/01
TI  - Research on the Approach to Describe Scenarios Based on Refinement
BT  - Proceedings of the 2016 International Conference on Intelligent Control and Computer Application
PB  - Atlantis Press
SP  - 426
EP  - 429
SN  - 2352-538X
UR  - https://doi.org/10.2991/icca-16.2016.102
DO  - 10.2991/icca-16.2016.102
ID  - Li2016/01
ER  -