More room to develop in parallel. Clearer ways to find information. Stronger connections across engineering.
Talk through your upgradeCodebeamer connects requirements, risks and tests in a controlled application lifecycle management (ALM) process. Here, Core means that ALM foundation; optional, separately licensed Codebeamer AI adds assistance within it.
| What to understand | Codebeamer Core | Codebeamer AI |
|---|---|---|
| The role it plays | Maintain engineering records, their relationships and the workflows for reviewing and controlling change. | Assist with requirements and test preparation or retrieve engineering information; engineers check suggestions and own the technical decisions. |
| When it helps | Related releases or product variants need a controlled way to share engineering work. | Large bodies of engineering information make relevant context difficult to find or reuse. |
A requirement document connects to risk and test evidence, then branches into two product configurations. A shared trace keeps intent, supporting records and variant context related as engineering work evolves.
Confirm AI capabilities, licensing and deployment options for your release and configuration with TriStar.
Use these scenarios to identify a coordination problem worth evaluating. The feature details below explain the capabilities and operating limits behind each one.
Clarify which changes should be shared before another team takes them into its release.
One actuator variant is still changing while another is nearing release. The team needs to decide which work can be reused, which remains specific to a variant and who owns the review.
What would a reviewer need to see before sharing this change?
Start investigations with relevant prior work and the evidence behind it.
An engineer investigating unexpected behavior needs to understand whether the team has seen it before. Earlier rationale and test findings can help frame the next question.
What evidence would let your team reuse an earlier finding?
Give software, systems and product owners a common change to examine.
A proposed control change may affect behavior, a physical assembly and verification. The team needs to identify the responsible owners and agree what each should examine before work proceeds.
Which disciplines need to be involved before this change moves forward?
Explore how the release themes work. Each capability has its own configuration, access and review requirements.
A stream keeps selected project information separate for a release or variant. Delta Merge carries non-conflicting changes into a target stream; conflicting edits remain for people to resolve.
Streams views and permissions help organize the work. Merging still depends on access rights, conflict resolution and engineering review.
The Search Assistant finds permitted indexed requirements, tests and other records by meaning. Engineers can then inspect the original information.
Codebeamer AI is a separately licensed add-on. Administrators configure indexed projects and content; indexing completion, freshness and existing permissions govern results.
Run Codebeamer AI and its supporting resources in your organization’s Azure tenant, with an operating plan that fits your environment.
Review identity, infrastructure, connectivity, access and service responsibilities. This option does not imply arbitrary local or offline hosting.
Configured links with Windchill, the product lifecycle management (PLM) system, relate software lifecycle records to product information. Codebeamer 3.3 expands linked-object metadata and reverse lookup.
Supported releases, integration configuration and access define the connection. Each system retains ownership of its information. Include connected workflows in your upgrade validation.
Explore WindchillThe core platform, AI add-on and product line engineering tool have separate release and licensing scopes. Review the changes that apply to your environment.
New stream-management and merge capabilities support development across related releases and variants.
Explore streams and mergingSemantic search and indexing extend how teams discover information in their engineering records.
Review AI featuresStream Transformation derives a variant-specific working set in Codebeamer from selected product features.
Consider product line scopeIdentify your current release and deployment model, representative projects, connected tools and validation needs. Agree compatibility and an appropriate upgrade window with TriStar.
If Pure Variants is in scope, review its separate licensing, supported versions and integration.
Choose a representative product situation, then use the evaluation to examine the decisions, owners and evidence involved.
A shared control module may appear in vehicle programs with different release dates and test scopes. Use one proposed change to examine what can be reused and what must remain specific to each program.
Who approves reuse across vehicle programs, and what evidence should accompany that decision?
A requirement change late in a device release can affect verification and the risk information the team needs to revisit. Use a representative change to examine how owners locate the relevant evidence and record the review.
Who owns that device review, and where will the rationale for the decision be retained?
Use these questions to turn a release review into a focused pilot, involve the right people and agree what is needed before rollout.
Choose one current engineering problem and agree what a useful result would look like. Record how the team handles it today, use a representative project, and compare the evidence and review effort afterward.
Use related working contexts with one change intended for both and another that should stay specific. Include a competing edit, name the reviewers and check the target records against the intended release. This tests your review process as well as the merge capability.
Choose questions with known relevant requirements or tests, then try them with realistic users and access levels. Inspect the returned source records for relevance and current content. Confirm which projects are indexed and how updates reach the index.
Include engineering alongside the people responsible for your Azure tenant, identity, security and service operation. Agree the data scope, connectivity, access and who will maintain the environment. Confirm those responsibilities against the supported configuration with TriStar.
Consider whether selected product features need to drive a variant-specific working set. Identify a representative configuration and who owns its feature selections. Use that example to decide whether Pure Variants belongs in the evaluation alongside the Codebeamer update.
Agree acceptance checks for representative projects, permissions, workflows and connected tools. Record the required validation evidence and who approves the result. Use those findings to plan the upgrade window and operational handover with TriStar.
Bring your current environment and the change you want to make. We’ll start there.
Talk to TriStar