Automatically Generating CSP Models for Communicating Haskell Processes

Tools such as FDR can check whether a CSP model of an implementation is a refinement of a given CSP specification. We present a technique for generating such CSP models of Haskell implementations that use the Communicating Haskell Processes library. Our technique avoids the need for a detailed semantics of the Haskell language, and requires only minimal program annotation. The generated CSP-M model can be checked for deadlock or refinements by FDR, allowing easy use of formal methods without the need to maintain a model of the program implementation alongside the program itself

Programming with monadic CSP-style processes in dependent type theory

We introduce a library called CSP-Agda for representing processes in the dependently typed theorem prover and interactive programming language Agda. We will enhance processes by a monad structure. The monad structure facilitates combining processes in a modular way, and allows to define recursion as a direct operation on processes. Processes are defined coinductively as non-well-founded trees. The nodes of the tree are formed by a an atomic one step relation, which determines for a process the external, internal choices, and termination events it can choose, and whether the process has terminated. The data type of processes is inspired by Setzer and Hancock's notion of interactive programs in dependent type theory. The operators of CSP will be defined rather than atomic operations, and compute new elements of the data type of processes from existing ones. The approach will make use of advanced type theoretic features: the use of inductive-recursively defined universes; the definition of coinductive types by their observations, which has similarities to the notion of an object in object-oriented programming; the use of sized types for coinductive types, which allow coinductive definitions in a modular way; the handling of finitary information (names of processes) in a coinductive settings; the use of named types for automatic inference of arguments similar to its use in template Meta-programming in C++; and the use of interactive programs in dependent type theory.We introduce a simulator as an interactive program in Agda. The simulator allows to observe the evolving of processes following external or internal choices. Our aim is to use this in order to simulate railway interlocking system and write programs in Agda which directly use CSP processes

Temporal Reasoning Through Automatic Translation of tock-CSP into Timed Automata

In this work, we present an approach for automatic translation of tock-CSP into Timed Automata (TA) for Uppaal to facilitate using Uppaal in reasoning about temporal specifications of tock-CSP models. The process algebra tock-CSP provides textual notations for modelling discrete-time behaviours, with the support of tools for automatic verification. Automatic verification of TA with a graphical notation is supported by Uppaal. The two approaches provide facilities for automatic verification. For instance, liveness requirements are difficult to specify with the constructs of tock-CSP, but they are easy to specify and verify in Uppaal. We have developed a translation technique and a tool based for translating tock-CSP into a network of small TAs for capturing the compositional structure of tock-CSP. For validating the rules, we begin with an experimental approach based on finite approximations to trace sets. Then, we explore using structural induction to establish the correctness

To boldly go:an occam-π mission to engineer emergence

Future systems will be too complex to design and implement explicitly. Instead, we will have to learn to engineer complex behaviours indirectly: through the discovery and application of local rules of behaviour, applied to simple process components, from which desired behaviours predictably emerge through dynamic interactions between massive numbers of instances. This paper describes a process-oriented architecture for fine-grained concurrent systems that enables experiments with such indirect engineering. Examples are presented showing the differing complex behaviours that can arise from minor (non-linear) adjustments to low-level parameters, the difficulties in suppressing the emergence of unwanted (bad) behaviour, the unexpected relationships between apparently unrelated physical phenomena (shown up by their separate emergence from the same primordial process swamp) and the ability to explore and engineer completely new physics (such as force fields) by their emergence from low-level process interactions whose mechanisms can only be imagined, but not built, at the current time

Tracking CSP computations

[EN] Tracing is one of the most important techniques for program understanding and debugging. A trace gives the user access to otherwise hidden information about a computation. In the context of concurrent languages, computations are particularly complex due to the non-deterministic execution order of processes and to the restrictions imposed on this order by synchronizations; hence, a tracer is a powerful tool to explore, understand and debug concurrent computations. In CSP, traces are sequences of events that define a particular execution. This notion of trace is completely different to the one used in other paradigms where traces are formed by those source code expressions evaluated during a particular execution. We refer to this second notion of traces as tracks. In this work, we introduce the theoretical basis for tracking concurrent and explicitly synchronized computations in process algebras such as CSP. Tracking computations in this kind of systems is a difficult task due to the subtleties of the underlying operational semantics which combines concurrency, non-determinism and non-termination. We define an instrumented operational semantics that generates as a side-effect an appropriate data structure (a track) which can be used to track computations. The formal definition of a tracking semantics improves the understanding of the tracking process, but also, it allows us to formally prove the correctness of the computed tracks. (C) 2018 Elsevier Inc. All rights reserved.This work has been partially supported by the EU (FEDER) and the Spanish Ministerio de Ciencia, Innovacion y Universidades/AEI under grant TIN2016-76843-C4-1-R and by the Generalitat Valenciana under grant PROMETEO-II/2015/013 (SmartLogic). The authors acknowledge a partial support of European COST Action IC1405 on Reversible Computation - extending horizons of computing. Salvador Tamarit was partially supported by the Conselleria de Educacion, Investigacion, Cultura y Deporte de la Generalitat Valenciana under the grant APOSTD/2016/036.Llorens Agost, ML.; Oliver Villarroya, J.; Silva, J.; Tamarit Muñoz, S. (2019). Tracking CSP computations. Journal of Logical and Algebraic Methods in Programming. 102:138-175. https://doi.org/10.1016/j.jlamp.2018.10.002S13817510