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pe-bpmn-editor [2018/04/24 19:28]
admin
pe-bpmn-editor [2020/03/03 09:29]
pullonen [Quick guide]
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 PE-BPMN editor is a user-facing frontend application that implements support for our BPMN PE-BPMN editor is a user-facing frontend application that implements support for our BPMN
-extension (PE-BPMN). It allows to extend models by adding various PE-BPMN [[pe-bpmn-editor_stereotypes|stereotypes]] to their elements. Stereotypes are attached by adding specific labels (named after stereotypes) into the xml code of the model. Currently the editor is not using any analysis tools yet.+extension (PE-BPMN). It allows to extend models by adding various PE-BPMN [[pe-bpmn-editor_stereotypes|stereotypes]] to their elements. Stereotypes are attached by adding specific labels (named after stereotypes) into the XML code of the model. Currently the editor is not using any analysis tools yet.
  
 ===== Quick guide ===== ===== Quick guide =====
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 ** Validating model & running analysis ** ** Validating model & running analysis **
  
-Clicking on //​Validate//​ button opens validation results in the sidebar: +Starting ​the analysis first verifies if the model is syntactically correct. ​If there are any errors or warnings, list (entitled //Errors in model//) appears. 
-If there are any errors or warnings, list (entitled //Errors in model//) appears. +If there are no errors (warnings are accepted), message //Passed validation!//​ appears. Under that appears an analysis menu with the PE-BPMN ​analysis ​options. Clicking on one of these buttons opens a modal with the analysis results.
-If there are no errors (warnings are accepted), message //Passed validation!//​ appears. Under that appears an analysis menu with //Simple disclosure ​analysis// and //Data dependencies analysis// buttons. Clicking on one of these buttons opens a modal with analysis results.+
  
-These two analysis do not require using stereotypes on a model, but presumably ​analysis results are more useful, if the analysis is based on models using privacy enhancement technologies+PE-BPMN ​analysis do not require using stereotypes on a model, but analysis results are more interesting, if the analysis is based on models using privacy enhancement technologies.
- +
-More detailed instructions will be added soon.+
  
 ===== Source code ===== ===== Source code =====
  
 The source code is available at [[https://​github.com/​pleak-tools/​pleak-pe-bpmn-editor|pleak-pe-bpmn-editor]] repository. The source code is available at [[https://​github.com/​pleak-tools/​pleak-pe-bpmn-editor|pleak-pe-bpmn-editor]] repository.
pe-bpmn-editor.txt · Last modified: 2020/03/03 15:37 by pullonen