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Software Engineering Institute

A Semantics of AADL EMV2 and Its Application to Model-Based Fault Tree Generation

This technical report proposes a formal semantics for EMV2 and shows how to leverage this semantics to generate fault trees from an AADL model enriched with EMV2 information.
Software Engineering Institute

Emil Mathew

CERT Division at Carnegie Mellon University's Software Engineering Institute. He has supported national security efforts for over 10 years in civilian, military, and contractor roles. Before joining ...
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Modeling Languages for Model-Based Systems Engineering (MBSE)

McGregor, J., and Cohen, S., 2022: Modeling Languages for Model-Based Systems Engineering (MBSE). Carnegie Mellon University, Software Engineering Institute's ...
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The Personal Software Process (PSP)

This report describes in detail what the PSP is and how it works. Starting with a brief discussion of the relationship of the PSP to general quality principles, the report describes how the PSP was ...
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Generative AI and Software Engineering Education

Ozkaya, I., and Schmidt, D., 2024: Generative AI and Software Engineering Education. Carnegie Mellon University, Software Engineering Institute's Insights (blog ...
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The Team Software Process (TSP)

This report describes the TSP and how it was developed. Starting with a brief background discussion of software quality, the report provides an overview of the basic elements of teamwork. The Team ...
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10 Lessons in Security Operations and Incident Management

Ruefle, R., 2024: 10 Lessons in Security Operations and Incident Management. Carnegie Mellon University, Software Engineering Institute's Insights (blog), Accessed ...
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The Seven Virtues of Reconciling Agile and Earned Value Management (EVM)

Wilson, S., Place, P., and Korzec, K., 2023: The Seven Virtues of Reconciling Agile and Earned Value Management (EVM). Carnegie Mellon University, Software ...
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UEFI: 5 Recommendations for Securing and Restoring Trust

Sarvepalli, V., 2023: UEFI: 5 Recommendations for Securing and Restoring Trust. Carnegie Mellon University, Software Engineering Institute's Insights (blog), Accessed ...
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The Challenge of Adversarial Machine Learning

Churilla, M., VanHoudnos, N., and Beveridge, R., 2023: The Challenge of Adversarial Machine Learning. Carnegie Mellon University, Software Engineering Institute's ...
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Rust Vulnerability Analysis and Maturity Challenges

Wassermann, G., and Svoboda, D., 2023: Rust Vulnerability Analysis and Maturity Challenges. Carnegie Mellon University, Software Engineering Institute's Insights ...
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Rust Software Security: A Current State Assessment

Sible, J., and Svoboda, D., 2022: Rust Software Security: A Current State Assessment. Carnegie Mellon University, Software Engineering Institute's Insights (blog ...