DocumentCode
3653851
Title
Assessing situation models with a lightweight formal method
Author
Vinicius M. Sobral;Joao Paulo A. Almeida;Patr?cia Dockhorn Costa
Author_Institution
Computer Science Department, Federal University of Esp?rito Santo (UFES), Vit?ria-ES, Brazil
fYear
2015
fDate
3/1/2015 12:00:00 AM
Firstpage
42
Lastpage
48
Abstract
In order to leverage the benefits of the notion of situation at design time, proper support is required at the modeling level. In the past, this need has led to the development of a situation type specification language called SML. Although SML facilitates the definition of situation types by providing a graphical notation, designers could profit from additional support in order to assess the quality of the situation type models they produce. Since situations consist of combinations of context elements and may also be combined into complex situations, composition may lead to inconsistent, redundant and/or unintended situation type definitions. In order to address this challenge, in this paper we present a formal validation method for situation modeling based on the automatic transformation of SML models into a lightweight formal method.
Keywords
"Unified modeling language","Metals","Context modeling","Context","Analytical models","Conferences","Medical services"
Publisher
ieee
Conference_Titel
Cognitive Methods in Situation Awareness and Decision Support (CogSIMA), 2015 IEEE International Inter-Disciplinary Conference on
ISSN
2379-1667
Electronic_ISBN
2379-1675
Type
conf
DOI
10.1109/COGSIMA.2015.7108173
Filename
7108173
Link To Document