Qualitative reasoning: modeling and simulation with incomplete knowledge
Qualitative reasoning: modeling and simulation with incomplete knowledge
Refinement Calculus: A Systematic Introduction
Refinement Calculus: A Systematic Introduction
Theoretical Computer Science
Trace Refinement of Action Systems
CONCUR '94 Proceedings of the Concurrency Theory
Refinement and Continuous Behaviour
HSCC '99 Proceedings of the Second International Workshop on Hybrid Systems: Computation and Control
Continuous action systems as a model for hybrid systems
Nordic Journal of Computing
Decentralization of process nets with centralized control
PODC '83 Proceedings of the second annual ACM symposium on Principles of distributed computing
Abstractions for hybrid systems
Formal Methods in System Design
Proceedings of the 3rd international workshop on Automation of software test
ICFEM'07 Proceedings of the formal engineering methods 9th international conference on Formal methods and software engineering
UML in action: a two-layered interpretation for testing
ACM SIGSOFT Software Engineering Notes
Model-based mutation testing of hybrid systems
FMCO'09 Proceedings of the 8th international conference on Formal methods for components and objects
Deriving real-time action systems controllers from multiscale system specifications
MPC'12 Proceedings of the 11th international conference on Mathematics of Program Construction
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An extension to action systems is presented facilitating the modeling of continuous behavior in the discrete domain. The original action system formalism has been developed by Back et al. in order to describe parallel and distributed computations of discrete systems, i.e. systems with discrete state space and discrete control. In order to cope with hybrid systems, i.e. systems with continuous evolution and discrete control, two extensions have been proposed: hybrid action systems and continuous action systems . Both use differential equations (relations) to describe continuous evolution. Our version of action systems takes an alternative approach by adding a level of abstraction: continuous behavior is modeled by Qualitative Differential Equations that are the preferred choice when it comes to specifying abstract and possibly non-deterministic requirements of continuous behavior. Because their solutions are transition systems, all evolutions in our qualitative action systems are discrete. Based on hybrid action systems, we develop a new theory of qualitative action systems and discuss how we have applied such models in the context of automated test-case generation for hybrid systems.