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pe-bpmn-editor [2020/03/03 09:28] pullonen [Quick guide] |
pe-bpmn-editor [2020/03/03 15:37] pullonen [Quick guide] |
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** Adding stereotypes to model elements for analysis ** | ** Adding stereotypes to model elements for analysis ** | ||
- | Clicking on tasks, message flows or data objects opens a stereotypes menu next to the element. Stereotypes are organized in the menu based on the taxonomy of privacy-enhancing technologies used to create PE-BPMN. Clicking on a stereotype in the menu opens a respective stereotype settings menu on the right side of the page (in sidebar). In this menu you can set different parameters related to the [[pe-bpmn-editor_stereotypes|requirements of stereotypes]]. | + | Clicking on tasks, message flows or data objects opens a stereotypes menu next to the element. The task stereotypes correspond to different actions - e.g. encryption and decryption - needed to use some privacy enhancing technology. Stereotypes are organized in the menu based on the taxonomy of privacy-enhancing technologies used to create PE-BPMN. Clicking on a stereotype in the menu opens a respective stereotype settings menu on the right side of the page (in sidebar). In this menu you can set different parameters related to the [[pe-bpmn-editor_stereotypes|requirements of stereotypes]]. |
Stereotype menus for tasks, message flows and data objects appear all in the sidebar. | Stereotype menus for tasks, message flows and data objects appear all in the sidebar. | ||
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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 the PE-BPMN analysis options. Clicking on one of these buttons opens a modal with the analysis results. | ||
- | These two 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. | + | 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. |
===== 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. |