iCR for Python User Guides
iCR for Python 3.0.2
iCR for Python 3.0.2iCR for Python 3.5iCR for Python 3.0
iCR for Python 3.0.2
iCR for Python 3.0.2iCR for Python 3.5iCR for Python 3.0
  • Table of contents
    • Introduction
    • Overview
    • Getting Started
      • Installing iCR for Python
      • Managing your service
        • Opening Ports
      • Authorizing Access to Your Source Code
        • Authenticating GitHub Access with a Cloud-Based VCS Repository Service
          • Authenticating GitHub Access with a Private VCS Repository
        • Authenticating GitLab Access with a Cloud-Based VCS Repository
          • Authenticating GitLab Access with a Private VCS Repository
        • Authenticating Bitbucket Access with a Cloud-Based VCS Repository
          • Authenticating Bitbucket Access with a Private VCS Repository
          • Setting Bitbucket Server Credentials in the Navigator
    • Using the Navigator
      • Connecting to the Navigator
      • Setting your private passphrase
      • The Navigator top banner
      • The Analysis Engine status
      • Selecting Your Source Code
        • Using a cloud-based VCS
        • Selecting your branch
        • Using a private VCS
        • Using a local project
        • Setting the scope of your analysis
      • Integrating with your bug tracking system
        • Integrating with Jira - Define Your Project
        • Integrating with Jira - Authorizing Access for iCR
        • Integrating with Jira - Connecting with iCR
    • Using the Analysis Engine
      • Initiating an analysis
      • Monitoring the analysis
      • Interrupting the analysis
    • Reviewing your results
      • Reviewer summary and filters
      • Filter by Directory pane
      • Filter by Category pane
      • Reviewing a fix
      • Accepting a fix
        • Accepting a fix when integrated with your bug system
      • Rejecting a fix
        • Rejecting a fix when integrated with your bug system
      • Undoing a fix
        • Undoing a fix when integrated with your bug system
      • Rejected fix history
      • Providing feedback
      • Applying the fixes
      • Cases needing manual attention
      • Capturing results for printing or sharing
      • Ending a reviewer session
    • When you are complete
    • Appendix – List of supported fixers
    • Appendix – Example Summary Report
    • Appendix - Sample Bug Listing
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  1. Table of contents
  2. Getting Started
  3. Authorizing Access to Your Source Code
  4. Authenticating Bitbucket Access with a Cloud-Based VCS Repository

Setting Bitbucket Server Credentials in the Navigator

PreviousAuthenticating Bitbucket Access with a Private VCS RepositoryNextUsing the Navigator

Last updated 1 year ago

Bitbucket Server does not use OAuth to authenticate the user like it does when using Bitbucket Cloud. So, setting the credentials is a little different from the other VCS servers. As before click on the Select Repository button to reveal the repository choices.

This opens the Credentials window. Here you can enter the name of this server. This name can be anything you like.

The enterprise address MUST be the URL that you configured when you installed and setup your Bitbucket server. In our example, we set up the URL as: vcs.openrefactory.com. Note that the address entered in the filed MUST be prefixed with https://.

Enter the Bitbucket server Username for whom you want the repositories to be available.

Finally, enter the PAT that you created earlier.

Clicking on Submit will record these credentials and you can now use your Bitbucket server as any other VCS repository.