# Difference between revisions of "Event-B Qualitative Probability User Guide"

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=== Probabilistic Modelling === | === Probabilistic Modelling === | ||

− | * | + | * Set event '''resolve''' to be probabilistic convergence by setting its convergence attribute to be ''convergent'' and the probabilistic attribute of '''resolve''' from ''standard'' to ''probabilistic''. |

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[[Image:contention-prob.jpg|300px|alt=Alt|Probabilistic modelling of contention]] | [[Image:contention-prob.jpg|300px|alt=Alt|Probabilistic modelling of contention]] | ||

## Revision as of 12:53, 14 May 2012

User:Son at **ETH Zurich** is in charge of the plug-in.

## Introduction

Event-B Qualitative Probability plug-in provides supports for reasoning about termination with probability 1 (almost-certain termination).

## Installing and Updating

The plug-in is available through the main Rodin Update Site under **Modelling Extension** category.

## News

- 23.11.2011: Version 0.2.1 released for Rodin 2.3.*
- 10.04.2012: Version 0.2.1 is compatible with Rodin 2.4.*
- 14.05.2012: Version 0.2.1 is compatible with Rodin 2.5.*

## Technical References

- S. Hallerstede, T.S. Hoang.
**Qualitative Probabilistic Modelling in Event-B**. In*IFM 2007: Integrated Formal Methods, 6th International Conference Proceedings*, Oxford, UK, July 2-5, 2007, volume 4591 of LNCS © Springer-Verlag. Springer website- Initial idea about probabilistic convergence event.
- New modelling elements: Variant bound
- New proof obligations:
**PRV**,**BND**,**FINACT**. - Example: Resolve contention in IEEE 1395 (Firewire protocol).

- E. Yilmaz, T.S. Hoang.
**Development of Rabin’s Choice Coordination Algorithm in Event-B**. In*Automated Verification of Critical Systems 2010*, volume 35 of*Electronic Communications of the EASST*© EASST. EASST website- Probablistic convergence event with refinement
- Constraints on how (not-) to refine probabilistic events.
- Example: Rabin's Choice Coordination Algorithm.

## Usage

We illustrate the usage of the plug-in using the example of contention resolving (part of IEEE 1394 Firewire protocol). The description of the problem is as follows.

Two processes in contention use a probabilistic protocol to resolve the problem. In each step, each process probabilisitcally choose to communicate in either short or long delay. The contention is resolved when the processes choose different delays.

We start with a non-deterministic model of the system

- Boolean variables and represent the choice for each process: for short delay for long delay.

- Resolving contention is model as an event of the model with guard (i.e. keep trying when the choices are identical).

### Probabilistic Modelling

- Set event
**resolve**to be probabilistic convergence by setting its convergence attribute to be*convergent*and the probabilistic attribute of**resolve**from*standard*to*probabilistic*.

- Set as the variant of the model

- Set as the bound of the model

- Save the model

### Proof Obligations

- The model should have 3 proof obligations including
**resolve/PRV**.

- The goal of proof obligation
**resolve/PRV**is . With hypothesis (from the guard of the event), the proof obligation can be discharged by instantiating different values for and (e.g. for and for ). Alternatively, the obligation can be interactively discharge using**p1**(AterlierB Predicate Prover on lasso'd hypotheses) directly as shown below

## Explanations for some warning and error messages

**Missing variant**warning

**Missing bound**error

## Additional features to be investigated/implemented

*Proof hints*: Select event guards when creating proof obligations, such as PRV and BND

*Finer-grain for probabilisitc attribute*. The probabilistic attribute might/should be attached to individual assignment and/or parameter of the event.