Software Engineering Institute | Carnegie Mellon University
Software Engineering Institute | Carnegie Mellon University

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Risk identification and cost estimation for system-of-system integration efforts

This work involves evaluating the success and failure of integration and interoperability programs with a specific focus on deriving reasonable cost estimates. In particular, the SEI is focusing on the effort and mechanisms associated with communication and coordination among stakeholder groups.

Measuring the impact of model-based engineering process improvement programs

The work focuses on establishing empirical evidence related to the impacts, costs, and time associated with the adoption and implementation of CMMI.

Empirical validation of software product quality measures

This work involves improving the software measures and standards related to software product quality measurement. Quality characteristics—including interoperability, security, and maintainability—are defined in ISO 9126, an international standard the SEI is currently helping to revise.

See Also

CMMI Research Collaborations

TSP Research Collaborations