Rational Engineering Lifecycle Manager

Visualize, analyze and organize engineering data for better decision making

IBM® Rational® Engineering Lifecycle Manager visualizes, analyzes and organizes engineering lifecycle data and data relationships. It enables product development teams to search and query engineering data that is stored and managed in multiple sources and locations. Rational Engineering Lifecycle Manager helps teams make better use of engineering data for more effective engineering decisions and more efficient compliance with industry standards.

Rational Engineering Lifecycle Manager features:

Clear views of relevant and related engineering data that are simple to use.
Analysis of engineering data that shows the impact of changes.
Data organization that provides context for queries and decision making.
Open architecture and federated data approach that lets you visualize, analyze and organize engineering data throughout your organization.

Clear views of relevant and related engineering data

View and search engineering data from different tool sources and locations, including data from globally distributed, cross-discipline tools.
See engineering data at an element level that includes requirements, design model elements, test cases and work items.
Present data grouped by role, process and industry needs.
Show relevant data relationships in easy-to-understand visual formats.
Increase capacity for innovation by making better use of engineering time previously spent using multiple tools to find and present information.
Access views of cross-tool and cross-domain data in the context of industry compliance standards to help achieve, maintain and demonstrate compliance.

Analysis of engineering data

See the functional, procedural or structural relationships among data to determine the impact of engineering changes.
Filter and hide irrelevant information from search results to keep the focus on data relationships that can impact processes, procedures and business outcomes.
Extract and analyze pertinent information from the vast amounts of engineering data generated by modern systems engineering and software development projects.
Assess readiness at critical milestones and provide detailed insight into development status.

Data organization

Group data according to product or system structures to provide context for engineering decisions.
Use product and system structures to support the reuse of engineering data in multiple products or systems.
Create highly specific, plain language queries to group related data, for example, “Show all requirements and related test cases for the Japanese variant of the head-up display unit on car model 1000.”
Improve engineering agility by reducing the time it takes to find, query and analyze engineering data and relationships.
Generate documentation that was previously difficult to assemble manually from multiple sources.

Open architecture and federated data approach

Build a near real-time index of linked lifecycle data from source tools that include IBM Rational DOORS®, IBM Rational Rhapsody® Design Manager, IBM Rational Team Concert™ and IBM Rational Quality Manager and provide a lifecycle query engine to search and query the index.
Take advantage of an open architecture to enable integration with additional data sources in the future.
Employ a federated, linked lifecycle data approach to cross-tool and cross-domain relationships, avoiding the cost and difficulty of moving data into a single repository.