SimPol - Simulink-Polarion Connector

 SimPol is a free MATLAB® toolbox to create, maintain, and verify bi-directional traceability between Polarion® ALM products and MATLAB® Simulink®, Stateflow®, as well as Simulink® Test™. The tool supports generation of requirement allocation files and can handle different linking modes like direct linking or the creation of a shadow model in Polarion®. Trace analysis helps to detect and repair broken links, identify missing coverage, and review the implementation or test cases of supspected requirements.


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Allocation of work items

  • Create allocation files specifying a set of work items in Polarion to be implemented and linked
  • Distribute allocation files to developers



  • Bi-directionally link Simulink and Stateflow model elments with any Polarion work items
  • Bi-directionally link Simulink Test Files, Test Suites, or Test Cases with any Polarion work items
  • Bi-directionally remove links
  • Use methods to query, search, filter work items (e.g., to find all unlinked items)
  • Improve your workflow by using a side-by-side view with Simulink for seamless linking with a minimum of clicks
  • Choose between linking modes: Direct Linking and Surrogate Linking (incremental creation of  a shadow model in Polarion)
  • Include model snapshots into linked work items
  • Write custom rules to select linkable primitives in Simulink and Stateflow



  • Show suspected model elements or test cases, which link to a changed work item.
  • Unsuspect model elements and test cases after adaption
  • Detect uni-directional and broken links and repair them automatically
  • Update model snapshots automatically
  • Synchronize the surrogate model



  • Analyze link healthiness
  • Load a Polarion baseline for review




Vendor Markus Hochstrasser (Technische Universität München)
Published Version 2.0_20180301 - November 2018
Price Free
Community Supported Extension This extension is not supported by Siemens PLM.
Requirements MATLAB, Simulink, Simulink Validation and Verification (tested with R2016b, R2017a)

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