Publication Type
Conference Proceeding Article
Version
publishedVersion
Publication Date
9-2015
Abstract
Model checking has been pervasive and successful in finding bugs in hardware and software systems, including real-time and probabilistic systems. Applying model checking to decision making is relative new and has an excellent potential to be compliment to data analytics and other Artificial Intelligent (AI) or Operational Research (OR) based decision making techniques. Our last 8 years research has focused on the development of PAT (Process Analysis Toolkit) [18] which supports modelling languages that combine the expressiveness of event, state, time and probability based modeling techniques to which model checking can be directly applied. The next direction for PAT is to move from verification to analytics, we call it “Event Analytics” with a special focus on “Strategy Analytics”.
Discipline
Software Engineering
Research Areas
Software and Cyber-Physical Systems
Publication
Proceedings of the 2015 International Symposium on Theoretical Aspects of Software Engineering (TASE), Nanjing, China, September 12-14
Volume
1
First Page
4
Last Page
6
Identifier
10.1109/TASE.2015.28
Publisher
IEEE
City or Country
Nanjing, China
Citation
DONG, Jin Song; SUN, Jun; LIU, Yang; LI, Yuan-Fang; SUN, Jing; and SHI, Ling.
Event and strategy analytics. (2015). Proceedings of the 2015 International Symposium on Theoretical Aspects of Software Engineering (TASE), Nanjing, China, September 12-14. 1, 4-6.
Available at: https://ink.library.smu.edu.sg/sis_research/4976
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Additional URL
https://doi.org/10.1109/TASE.2015.28