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

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+ | === Proof Obligations === |

## Revision as of 14:24, 23 November 2011

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.*

## 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).

### Description

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.

### Nondetermistic specification

- Boolean variables <math>x</math> and <math>y</math> represent the choice for each process: <math>TRUE</math> for short delay <math>FALSE</math> for long delay.

- Resolving contention is model as an event of the model with guard <math>x = y</math> (i.e. keep trying when the choices are identical).

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### Probabilistic specification

- To set event
**resolve**is probabilistic convergence:

- Go to the
**Edit**page of the standard*Rodin Editor*. - Open the
**EVENTS**section - Set convergence attribute of
**resolve**from*ordinary*to*convergent*. - Set probabilistic attribute of
**resolve**from*standard*to*probabilistic*.

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- Set <math>\Bool \setminus \{x, y\}</math> as the variant of the model

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- Set <math>\Bool</math> as the bound of the model

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- Save the model