D32 Model Animation: Difference between revisions
From Event-B
Jump to navigationJump to search
imported>Leuschel New page: Model Animation: = Siemens Application The most important additions of the last 12 months are: - Application of ProB in three active deployments, namely the upgrading of the Paris Met... |
imported>Leuschel No edit summary |
||
| Line 1: | Line 1: | ||
Model Animation: | Model Animation: | ||
= Siemens Application | == Siemens Application== | ||
The most important additions of the last 12 months are: | The most important additions of the last 12 months are: | ||
* Application of ProB in three active deployments, namely the upgrading of the Paris Metro Line 1 for driverless trains, line 4 of the S\~{a}o Paulo metro and line 9 of the Barcelona metro. We also briefly report on experiments on the models of the CDGVAL shuttle. The paper \cite{LeuschelEtAl:STS09} only contained the initial San Juan case study, which was used to evaluate the potential of our approach. | |||
* In this article we describe the previous method adopted by Siemens in much more | |||
detail, as well as explaining the performance issues with Atelier B. | detail, as well as explaining the performance issues with Atelier B. | ||
* Comparisons and empirical evaluations with other potential approaches and alternate tools (Brama, AnimB, BZ-TT and TLC) have been conducted. | |||
* We provide more details about the ongoing validation process of \prob, which is required by Siemens for it to use \prob\ to replace the existing method. | |||
The validation also lead to the discovery of errors in the English version of the Atelier B reference manual. | |||
Also, since \cite{LeuschelEtAl:STS09}, ProB itself has been further improved | Also, since \cite{LeuschelEtAl:STS09}, ProB itself has been further improved | ||
inspired by the application, resulting in new optimisations in the kernel | inspired by the application, resulting in new optimisations in the kernel | ||
| Line 23: | Line 16: | ||
= multi-level animation (ABZ'2010 & SCP journal paper) | == multi-level animation == | ||
(ABZ'2010 & SCP journal paper) | |||
== Improvements to the ProB Constraint solver and empirical evaluation == | |||
Rodin 10 Paper | |||
== Constraint-Based Deadlock Checking == | |||
= | == BMotionStudio for Industrial Models == | ||
Lukas Ladenberger's Master's thesis | |||
= | == various other improvements, e.g., inspired by Siemens and Bosch Applications == | ||
Improved AVL algorithms, more operators | |||
record support, treatment of infinite sets, | |||
Revision as of 08:50, 29 November 2010
Model Animation:
Siemens Application
The most important additions of the last 12 months are:
- Application of ProB in three active deployments, namely the upgrading of the Paris Metro Line 1 for driverless trains, line 4 of the S\~{a}o Paulo metro and line 9 of the Barcelona metro. We also briefly report on experiments on the models of the CDGVAL shuttle. The paper \cite{LeuschelEtAl:STS09} only contained the initial San Juan case study, which was used to evaluate the potential of our approach.
- In this article we describe the previous method adopted by Siemens in much more
detail, as well as explaining the performance issues with Atelier B.
- Comparisons and empirical evaluations with other potential approaches and alternate tools (Brama, AnimB, BZ-TT and TLC) have been conducted.
- We provide more details about the ongoing validation process of \prob, which is required by Siemens for it to use \prob\ to replace the existing method.
The validation also lead to the discovery of errors in the English version of the Atelier B reference manual.
Also, since \cite{LeuschelEtAl:STS09}, ProB itself has been further improved
inspired by the application, resulting in new optimisations in the kernel (see below).
multi-level animation
(ABZ'2010 & SCP journal paper)
Improvements to the ProB Constraint solver and empirical evaluation
Rodin 10 Paper
Constraint-Based Deadlock Checking
BMotionStudio for Industrial Models
Lukas Ladenberger's Master's thesis
various other improvements, e.g., inspired by Siemens and Bosch Applications
Improved AVL algorithms, more operators
record support, treatment of infinite sets,
