125 research outputs found
A Verification Toolkit for Numerical Transition Systems
This paper presents a publicly available toolkit and a benchmark suite for rigorous verification of Integer Numerical Transition Systems (INTS), which can be viewed as control-flow graphs whose edges are annotated by Presburger arithmetic formulas. We present FLATA and ELDARICA, two verification tools for INTS. The FLATA system is based on precise acceleration of the transition relation, while the ELDARICA system is based on predicate abstraction with interpolation-based counterexample-driven refinement. The ELDARICA verifier uses the PRINCESS theorem prover as a sound and complete interpolating prover for Presburger arithmetic. Both systems can solve several examples for which previous approaches failed, and present a useful baseline for verifying integer programs. The infrastructure is a starting point for rigorous benchmarking, competitions, and standardized communication between tools
Tools and Algorithms for the Construction and Analysis of Systems
This book is Open Access under a CC BY licence. The LNCS 11427 and 11428 proceedings set constitutes the proceedings of the 25th International Conference on Tools and Algorithms for the Construction and Analysis of Systems, TACAS 2019, which took place in Prague, Czech Republic, in April 2019, held as part of the European Joint Conferences on Theory and Practice of Software, ETAPS 2019. The total of 42 full and 8 short tool demo papers presented in these volumes was carefully reviewed and selected from 164 submissions. The papers are organized in topical sections as follows: Part I: SAT and SMT, SAT solving and theorem proving; verification and analysis; model checking; tool demo; and machine learning. Part II: concurrent and distributed systems; monitoring and runtime verification; hybrid and stochastic systems; synthesis; symbolic verification; and safety and fault-tolerant systems
Abstraction Refinement and Antichains for Trace Inclusion of Infinite State Systems
International audienceA generic register automaton is a finite automaton equipped with variables (which may be viewed as counters or, more generally, registers) ranging over infinite data domains. A trace of a generic register automaton is an alternating sequence of alphabet symbols and values taken by the variables during an execution of the automaton. The problem addressed in this paper is the inclusion between the sets of traces (data languages) recognized by such automata. Since the problem is undecidable in general, we give a semi-algorithm based on a combination of abstraction refinement and antichains, which is proved to be sound and complete, but whose termination is not guaranteed. Moreover, we further enhance the proposed algorithm by exploiting a concept of data simulations, i.e., simulation relations aware of the data associated with the words. We have implemented our technique in a prototype tool and show promising results on multiple non-trivial examples
Arrows for knowledge-based circuits
Knowledge-based programs (KBPs) are a formalism for directly relating agents' knowledge and behaviour in a way that has proven useful for specifying distributed systems. Here we present a scheme for compiling KBPs to executable automata in finite environments with a proof of correctness in Isabelle/HOL. We use Arrows, a functional programming abstraction, to structure a prototype domain-specific synchronous language embedded in Haskell. By adapting our compilation scheme to use symbolic representations we can apply it to several examples of reasonable size
Validation and verification of the interconnection of hardware intellectual property blocks for FPGA-based packet processing systems
As networks become more versatile, the computational requirement for supporting additional
functionality increases. The increasing demands of these networks can be met by Field Programmable
Gate Arrays (FPGA), which are an increasingly popular technology for implementing packet processing
systems. The fine-grained parallelism and density of these devices can be exploited to meet the
computational requirements and implement complex systems on a single chip. However, the increasing
complexity of FPGA-based systems makes them susceptible to errors and difficult to test and debug.
To tackle the complexity of modern designs, system-level languages have been developed to provide
abstractions suited to the domain of the target system. Unfortunately, the lack of formality in
these languages can give rise to errors that are not caught until late in the design cycle. This
thesis presents three techniques for verifying and validating FPGA-based packet processing systems
described in a system-level description language. First, a type system is applied to the system
description language to detect errors before implementation. Second, system-level transaction
monitoring is used to observe high-level events on-chip following implementation. Third, the
high-level information embodied in the system description language is exploited to allow the system
to be automatically instrumented for on-chip monitoring.
This thesis demonstrates that these techniques catch errors which are undetected by traditional
verification and validation tools. The locations of faults are specified and errors are caught
earlier in the design flow, which saves time by reducing synthesis iterations
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