Title
UPPAAL - Now, Next, and Future
Abstract
UPPAAL is a tool for modeling, simulation and verification of real-time systems, developed jointly by BRICS at Aalborg University and the Department of Computer Systems at Uppsala University. The tool is appropriate for systems that can be modeled as a collection of non-deterministic processes with finite control structure and real-valued clocks, communicating through channels or shared variables. Typical application areas include real-time controllers and communication protocols, in particular those where timing aspects are critical. This paper reports on the currently available version and summarizes developments during the last two years. We report on new directions that extends UPPAAL with cost-optimal exploration, parametric modeling, stop-watches, probablistic modeling, hierachical modeling, executable timed automata, and a hybrid automata animator. We also report on recent work to improve the efficiency of the tool. In particular, we outline Clock Difference Diagrams (CDDs), new compact representations of states, a distributed version of the tool, and application of dynamic partitioning. UPPAAL has been applied in a number of academic and industrial case studies. We describe a selection of the recent case studies.
Year
Venue
Keywords
2000
Modeling and verification of parallel processes
new compact representation,hybrid automata animator,uppsala university,available version,aalborg university,hierachical modeling,probablistic modeling,industrial case study,parametric modeling,new direction,real time,real time systems,communication protocol,control structure
DocType
ISBN
Citations 
Conference
3-540-42787-2
39
PageRank 
References 
Authors
2.49
36
13
Name
Order
Citations
PageRank
Tobias Amnell122714.42
Gerd Behrmann2164881.69
Johan Bengtsson3104860.86
Pedro R. D'Argenio4100463.53
Alexandre David5166776.52
Ansgar Fehnker673648.68
Thomas Hune723016.61
Bertrand Jeannet864129.06
Kim Guldstrand Larsen94434346.88
M. Oliver Möller101209.60
Paul Pettersson112636174.89
Carsten Weise1242928.11
Wang Yi134232332.05