Generating petri net-based behavioral models from textual use cases and application in railway networks
Document Type
Article
Publication Date
12-1-2016
Abstract
A software system's requirements are often specified by textual use cases due to the latter's concrete and narrative style of expressions. However, they have limitation in the synthesis of the system behavior since they have a poor basis for the formal interpretation. Existing synthesis techniques are either largely manual or focus on the use case interactions. We present a framework from a model-based point of view to automatically synthesize system behavior from textual use cases to a Petri net model. The generated net model can well describe component module interactions and thus can be used to check the requirement properties. The function of Send-Railway-Emergency-Call of European Integrated Railway Radio Enhanced Network is used to show the proposed method. Moreover, the experimental results on a set of examples demonstrate the effectiveness of the proposed method.
Identifier
84969567558 (Scopus)
Publication Title
IEEE Transactions on Intelligent Transportation Systems
External Full Text Location
https://doi.org/10.1109/TITS.2016.2518745
ISSN
15249050
First Page
3330
Last Page
3343
Issue
12
Volume
17
Grant
61210004
Fund Ref
National Natural Science Foundation of China
Recommended Citation
Ding, Zuohua; Jiang, Mingyue; and Zhou, Mengchu, "Generating petri net-based behavioral models from textual use cases and application in railway networks" (2016). Faculty Publications. 10137.
https://digitalcommons.njit.edu/fac_pubs/10137
