Model checking and modular verification
ACM Transactions on Programming Languages and Systems (TOPLAS)
Model checking
An automata-theoretic approach to modular model checking
ACM Transactions on Programming Languages and Systems (TOPLAS)
Assume-Guarantee Model Checking of Software: A Comparative Case Study
Proceedings of the 5th and 6th International SPIN Workshops on Theoretical and Practical Aspects of SPIN Model Checking
Environment Synthesis for Compositional Model Checking
ICCD '02 Proceedings of the 2002 IEEE International Conference on Computer Design: VLSI in Computers and Processors (ICCD'02)
Reconfiguration assurance in embedded system software
Reconfiguration assurance in embedded system software
Modular verification of dynamically adaptive systems
Proceedings of the 8th ACM international conference on Aspect-oriented software development
MAVEN: modular aspect verification
TACAS'07 Proceedings of the 13th international conference on Tools and algorithms for the construction and analysis of systems
From model-based design to formal verification of adaptive embedded systems
ICFEM'07 Proceedings of the formal engineering methods 9th international conference on Formal methods and software engineering
Testing adaptive probabilistic software components in cyber systems
FOCS'10 Proceedings of the 16th Monterey conference on Foundations of computer software: modeling, development, and verification of adaptive systems
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Model-based verification of adaptive embedded systems is a promising approach to deal with the increased complexity that adaptation imposes on system design. Properties of embedded systems typically depend on the environment in which they are deployed. Thus, the environment has to be considered for verification. In this paper, we propose a technique to verify properties of design-level models of adaptive embedded systems under environment constraints. We transfer ideas originating from assume-guarantee reasoning for Kripke structures to design-level models of adaptive embedded systems in order to reduce conditional validity checking to standard model checking.