iCR for Python User Guides
iCR for Python 3.0.2
iCR for Python 3.0.2
  • 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. Reviewing your results

Ending a reviewer session

PreviousCapturing results for printing or sharingNextWhen you are complete

Last updated 1 year ago

It may be the case, especially if you are executing iCR for Python for the first time, that there will be many offered fixes to be reviewed. You may want to distribute the task of reviewing the fixes to multiple members of your team. Or, you may want to review fixes in batches over time.

You can end a Reviewing session at any time by clicking on the Home button. This will redirect your tab back to the Navigator. This is handy if you had closed the Navigator tab from before. Or you can simply close the Reviewer tab and return to your previous Navigator tab. In either case, your Reviewer session ends.

The Reviewer also monitors your activity. If you are idle for a period of 15 minutes, the reviewer pops up an alert asking if you want to continue the session. If so, simply click Continue to proceed.

If you allow the timeout to expire, your Reviewer session will end, and a simple display will be shown to let you know that iCR for Python ended your session.

Of course, you can always end your session by simply clicking the Exit iCR button.

You may return at any time to the Navigator by clicking on its tab.