Codebeamer®⇄Jenkins®
Codebeamer ↔ Jenkins
AroTrace connects Codebeamer and Jenkins for CI/CD execution context connected to requirements and release governance. The evaluated path defines which records and relationships participate, which direction information moves, and which system remains responsible.
It is a governed connection. Codebeamer remains responsible for Requirements, tests, releases, changes, and verification decisions; Jenkins remains responsible for Pipeline execution, builds, stages, automated tests, and job results. AroTrace maps selected projects, object types, fields, values, and relationships according to an explicit operating design.
A successful Jenkins job does not by itself identify which requirement, test case, or release decision it supports in Codebeamer. Behavior is therefore confirmed for the versions, permissions, deployment, direction, and use case rather than inferred from the product names.
Designed for engineering context. requirements, test cases, releases, changes, and verification records and jobs, pipelines, stages, builds, automated tests, and results are treated as lifecycle context—not only as generic tasks.
Governed by scope. Direction, mappings, conditions, routes, relationships, and conflict handling remain explicit configuration decisions.
Preserves responsibility. Codebeamer can govern requirements, test definitions, release scope, and lifecycle verification decisions. Jenkins can remain responsible for automation jobs, pipeline stages, builds, and execution results.
Start with a bounded flow. Representative projects, objects, and relationships are validated with real test records before the scope expands.
The integration gap
A successful Jenkins job does not by itself identify which requirement, test case, or release decision it supports in Codebeamer.
Teams transfer requirements, test cases, releases, changes, and verification records or jobs, pipelines, stages, builds, automated tests, and results by hand, creating records that can drift as work continues.
requirement-to-build, test-to-execution, and release-to-pipeline relationships are often assembled from exports and references only when a review, release, or audit approaches.
A change reaches the other team through meetings, messages, or spreadsheets after dependent decisions have already started.
Both teams may have valid reasons to retain their specialized systems, processes, data models, and responsibility.
What sets the approach apart
This page describes the operating approach that can be evaluated. Exact behavior remains dependent on the connector, version, permissions, deployment, and configuration.
Mapping
requirements, test cases, releases, changes, and verification records are not assumed to equal jobs, pipelines, stages, builds, automated tests, and results. Types, fields, values, identities, and relationships are mapped deliberately.
Responsibility
Codebeamer can govern requirements, test definitions, release scope, and lifecycle verification decisions. Jenkins can remain responsible for automation jobs, pipeline stages, builds, and execution results.
Synchronization
One-way or bidirectional create and update behavior is evaluated per object type and use case.
Traceability
requirement-to-build, test-to-execution, and release-to-pipeline relationships remain navigable and reviewable without unnecessarily creating a second source.
Orchestration
Configured states, approvals, checks, creation, or updates can be coordinated as an evaluated workflow.
Operation
Run history, unmapped values, skipped records, write failures, and conflicts remain part of explicit operational review.
Representative flows
These examples describe possible evaluated workflows, not a blanket promise for every product version or customer environment.
Representative workflow
Relate evaluated Jenkins build or test outcomes to the Codebeamer test and requirement context they support.
Representative workflow
Bring selected pipeline history and exceptions into a Codebeamer release review without treating a current status as complete evidence by itself.
Compare operating models
Evaluate more than whether two APIs can communicate. Lifecycle meaning, source responsibility, evidence, and operating burden determine the useful approach.
Scroll horizontally to compare every option.
| Criterion | AroTrace | Point-to-point script | General automation | Tool consolidation |
|---|---|---|---|---|
| Engineering semantics | Explicit in the integration model | Must be designed and coded | Usually step- or record-oriented | Defined by the target system |
| Source responsibility | Can remain distributed | Possible but custom | Workflow-dependent | Intentionally consolidated |
| Traceability | Relationships and origin in evaluated scope | Depends on custom implementation | Platform- and workflow-dependent | Rebuilt in the target |
| Operational review | Runs, reconciliation, and exceptions | Must be built and operated | Platform-dependent | Migration and target controls |
| Process change | Re-evaluate mappings and rules | Modify and test code | Modify the automation | Change the consolidated process |
This comparison describes operating-model tendencies, not a claim that every competing product or implementation behaves identically. Evaluate the actual products, versions, controls, and services in scope.
For reviewable engineering work
Evidence-intensive teams need a connection whose decisions and boundaries can be understood. AroTrace can support that operating model; certification and compliance remain the responsibility of the customer and the complete development system.
Origin
Configured records and relationships retain the context needed to understand their origin and responsibility.
Scope
Projects, types, fields, values, relationships, permissions, and directions are agreed rather than inferred from everything available.
Operation
Operating boundary, authentication, data path, and infrastructure responsibility are confirmed for the customer environment.
Exceptions
Skipped records, unmapped values, write failures, and ambiguous changes remain visible operating decisions.
Availability, deployment, audit evidence, and regulatory suitability must be confirmed for the specific scope.
Questions
Answers about direction, scope, versions, responsibility, operation, and rollout.
Potential scope includes evaluated jobs, builds, stages, automated test results, and their relationship to selected Codebeamer records. Exact behavior depends on the connector and pipeline design.
No. The operating design must define the relationship and acceptance rule; a build result and an engineering verification decision are not automatically the same fact.
Bidirectional behavior is possible where the evaluated connector supports the required create and update operations. Direction is configured explicitly per object type and relationship.
No. AroTrace can synchronize selected records and preserve cross-tool relationships for context that should remain under its source system's responsibility.
Support is confirmed for the editions, versions, APIs, permissions, deployment models, and operations in scope. A product name alone is not a version-level compatibility statement.
Authorized owners define the projects, types, fields, values, directions, conditions, routes, relationships, and acceptance rules for the agreed operating design.
No. This page describes an ongoing integration in which both systems remain in use. Migration is a separate controlled transition toward a target state.
Start with representative versions, a bounded project or object scope, real test records, named owners, and explicit acceptance evidence before expanding.
Share the versions, projects, object types, direction, and first engineering decision that matters. We can define a bounded integration path and the evidence needed to accept it.
