What you need to know about IBM ELM reporting components

Your engineering projects will create a large amount of data that you can use in reports. OSLC Connect for Jira allows you to include Jira data inside your IBM ELM reports.

Components of IBM ELM reports include:

  • Jazz Reporting Service (JRS), is composed of three components itself:

    • Lifecycle Query Engine (LQE) is an indexation component that leverages Tracked Resource Sets (TRS) to build an index of your lifecycle project data. LQE can be used as a data source to create reports.

    • Data Collection Component (DCC) is the storage component that will simply store useful data for later uses in reports.

    • Report Builder (RB) is the report creation tool that will use either LQE or DCC as the source for the report.

  • IBM Engineering Lifecycle Optimization - Engineering Insight (ENI): a report analysis tool that, when using LQE data source, can produce visual reports for Impact Analysis, Dependency Analysis and other forms of linked resource visualization.

In most cases, you’ll find yourself creating reports using IBM Report Builder with an LQE data source.

If you want to get a better understanding of how they operate and work together, read this article: Understanding TRS, LQE, and Report Builder Data Sources

Using Jira as a data source in ELM reporting components

Before your start

How to report on Jira data in IBM Report Builder

  1. Configure Lifecycle Query Engine (LQE) to work with Jira.

    • After successfully configuring LQE to read the Jira TRS feed, both Report Builder and Engineering Insight are now capable to include Jira data in their reports.

  2. Using Jira data in Engineering Insight.

  3. If you are familiar with Report Builder but cannot see some Jira custom attributes, you’ll want to read Reporting on Jira Custom Attributes with Report Builder.


If you find yourself stuck while trying to configure LQE or using Jira Data, you’ll find help in our troubleshooting article: Troubleshooting issues in IBM Report Builder or IBM ELM - Engineering Insight.