Description
Codebeamer, developed by PTC, is an enterprise-grade Application Lifecycle Management (ALM) platform that facilitates collaboration, traceability, and process management in complex software engineering projects. It is designed to manage requirements, risks, tests, and compliance across the entire software development lifecycle. Codebeamer extends ALM with product line configuration capabilities, offering unique configurability for complex processes and digital workflows that enhance collaborative development and regulatory compliance.
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The platform is particularly beneficial for industries such as medical, automotive, aviation, and pharmaceuticals, where compliance and traceability are critical. Codebeamer integrates with other PTC products to connect to the engineering digital thread, providing end-to-end traceability from requirements through testing and release. This integration helps lower development costs by connecting fragmented software engineering tools through a central platform with out-of-the-box, standards-based integrations.
Codebeamer supports Agile development with features like planning, tracking, and managing Agile processes using tools such as kanban, backlog, and release systems. It also orchestrates and controls CI/CD pipelines, integrating with tools like Jenkins and Azure Pipeline. The platform's AI capabilities, introduced in Codebeamer AI 1.0, bring generative AI into ALM to accelerate requirements, testing, and traceability, reducing manual effort and providing actionable intelligence.
Codebeamer is available as both a cloud-based and on-premises solution, allowing organizations to choose the deployment model that best fits their needs. It supports integration with a wide range of tools, including PLM, CAD, modeling, development, and test tools, ensuring seamless workflows and full traceability across the development lifecycle. With its comprehensive features and industry-specific templates, Codebeamer helps teams accelerate product development, maintain compliance, and improve product quality.
- CategoryAI Project Management
- Pricing ModelContact sales
- DeploymentCloud, On-premises
- PlatformsWeb
PTC's Core Features
Collaborative Application Lifecycle Management
Requirements and traceability management
Software risk and compliance management
Test and quality management
Product variability management
DevOps and release orchestration
End-to-end traceability
AI-powered requirements and testing
How to use PTC?
Configure: Set up your project requirements and workflows
Use: Manage requirements, risks, and tests
Integrate: Connect with other PTC products and tools
Optimize: Utilize AI features for enhanced traceability and compliance
PTC's Use Cases
- Requirements Management
- Risk Management
- Test Management
- Product Line Engineering
- DevOps Integration
