iCR for Python User Guides
iCR for Python 3.5
iCR for Python 3.5
  • Table of contents
    • Introduction
    • Overview
    • 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
    • Using the Navigator
      • Connecting to the Navigator
      • Setting your User Password
      • 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
        • Limiting the files to be analyzed
      • 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
Powered by GitBook
On this page
  1. Table of contents
  2. Using the Navigator

Integrating with your bug tracking system

iCR accelerates the DevOps process by identifying possible defects with precision and accuracy. Many development teams want to be able to track and manage defects as part of their DevOps process. iCR supports this by integrating the analysis results into your bug tracking infrastructure.

In this release of iCR for Python, support for Jira bug tracking is offered. Other bug tracking infrastructures may be supported in future releases.

PreviousLimiting the files to be analyzedNextIntegrating with Jira - Define Your Project

Last updated 1 year ago