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

Authenticating Bitbucket Access with a Private VCS Repository

PreviousAuthenticating Bitbucket Access with a Cloud-Based VCS RepositoryNextSetting Bitbucket Server Credentials in the Navigator

Last updated 1 year ago

If you are using a private Bitbucket VCS server on a private deployment, a different mechanism is used to authenticate iCR for Java with the server. Instead of OAuth, Personal Access Tokens (PAT) are used.

As always, begin by logging into the Bitbucket server and click on the User icon.

This will bring up the Account menu.

This brings up the Personal access tokens page which lists all current PATs. To create a new token for iCR,

This brings up the page where you can create the token that will be used to authenticate your access to the Bitbucket server. In our example, we will name the token “Enterprise Bitbucket”.

To make sure that access is read/write enabled, choose Admin as the projects Permissions.

Once created, you will see the response as a popup window with the new token. Copy this token as it will be needed in the Navigator to authenticate this user with the Bitbucket server.

With the token created, you can return to the Navigator and complete the steps to set the Bitbucket server credentials.