(→VisB) |
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year = {2020}, | year = {2020}, | ||
series = {LNCS 12071}, | series = {LNCS 12071}, | ||
pages = "260--265", | |||
isbn="978-3-030-48077-6" | isbn="978-3-030-48077-6" | ||
} | } | ||
</pre> | </pre> |
VisB is a plugin for ProB2-UI, the new user interface of ProB based on JavaFX and the ProB2-Java-API . It can be downloaded at https://www3.hhu.de/stups/downloads/prob2/plugins/. An article about VisB has been published in the ABZ'2020 proceedings.
To install VisB in the JavaFX-based ProB2-UI you need to:
1. Choose "Plugin Menu" in the Advanced menu 2. Click on the "Add Plugin..." button. 3. Select the VisB JAR file you have downloaded from https://www3.hhu.de/stups/downloads/prob2/plugins/ 4. Choose the "Open VisB" command in the Advanced menu
You can now choose a JSON file which builds on top of a SVG graphics file. The JSON file contains a reference to a SVG file, along with entries to modify attributes based on the current state of a B model and entries which specify how VisB should react to clicks on the SVG. The SVG file should contain object ids which are referenced in the JSON file.
Here is a sample file:
{ "svg":"Train2.svg", "items":[ { "id":"Train1_rect", "attr":"visibility", "value":"IF 1:TRAIN THEN \"visible\" ELSE \"hidden\" END" }, { "id":"Train1_rect", "attr":"fill", "value":"IF train_speed(1)>0 THEN \"blue\" ELSE \"orange\" END" }, { "id":"Train1_rect", "attr":"x", "value":"train_back_loc(1)*10+20" }, { "id":"Train1_rect", "attr":"width", "value":"train_length(1)*10" } ], "events":[ { "id":"Train1_rect", "event":"Train_Move1", "predicates":[ "1=1" ] } ] }
Some examples can be found here. More details and examples will be added later.
This is the Bibtex entry for an article about VisB in the ABZ'2020 proceedings:
@inproceedings{WerthLeuschel:abz2020, author = {Michelle Werth and Michael Leuschel}, title = {{VisB}: A Lightweight Tool to Visualize Formal Models with {SVG} Graphics}, booktitle = {Proceedings ABZ 2020}, editor="Raschke, Alexander and M{\'e}ry, Dominique and Houdek, Frank", year = {2020}, series = {LNCS 12071}, pages = "260--265", isbn="978-3-030-48077-6" }