Modernizing Product Development by

Moving Off Legacy Platforms

Learn when and how to move off legacy ALM platforms like IBM DOORS and ELM while protecting traceability, history, and data.

Modernize your product developement

What this is

A live discussion with experts from SPK and Associates and OpsHub on what teams need to decide, plan, and protect as they move from aging ALM platforms to modern, cloud-ready tools.

The pressure is real. So is the migration risk.

Many organizations are already being pushed to modernize. The drivers are easy to recognize:

Vendor end-of-support dates for aging platforms
Growing technical debt and integration limitations
Security and cloud strategy requirements
AI initiatives that depend on connected engineering data

But legacy platforms hold years of customization, integrations, and compliance records, and that data is not easy to move.

One platform holds the requirements and work items.

Relationships between them provide the traceability.

History, attachments, and audit records provide the proof.

What breaks when agents work from fragmented data?

Broken traceability

Links between requirements and work items are lost, and the audit trail goes with them.

Lost history

Attachments, comments, and change history do not make it to the new platform.

Disrupted delivery

Cutover takes longer than planned and teams stall while they wait.

What we'll talk about

A practical path: discover, map, migrate, and retire…

The business and technical signals that a legacy ALM platform has reached the end of its useful life.
How end-of-support dates, technical debt, security, cloud strategy, and AI initiatives shape modernization decisions.
Your options for moving from legacy requirements, ALM, and project management tools to modern, cloud-based platforms.
How to choose between big-bang and phased migration and keep the business running during the transition.
How to preserve requirements, work items, relationships, history, attachments, and traceability.
Practical steps for discovery, data mapping, validation, migration, cutover, and retirement of the legacy environment.