Rational Engineering Lifecycle Manager

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.