Jeffrey Hansen

Carnegie Mellon University

Papers

1

Total Citations

2

H-Index

1

About

Jeffrey Hansen is a researcher whose work centers on predictable software behavior and certifiably reliable code, particularly through his contributions to the Predictable Assembly from Certifiable Code (PACC) initiative at the Carnegie Mellon Software Engineering Institute. His most-cited paper, "Overview of the Lambda-* Performance Reasoning Frameworks" (2009), introduces frameworks designed to make analytic methods accessible to software engineers, enabling the production of software with predictable performance characteristics. Although his citation count is modest—with this key work garnering 2 citations—Hansen’s impact lies in advancing foundational approaches for reasoning about software performance and dependability. His research addresses a critical challenge in software engineering: bridging the gap between formal analysis and practical development. By focusing on certifiable code and predictable assembly, Hansen has contributed to methodologies that help engineers build systems with assured behavioral outcomes, a vital pursuit for safety-critical and high-assurance applications. His work remains relevant for researchers and practitioners seeking to integrate rigorous performance reasoning into everyday software development practices.

Research Focus

Key Achievements

1
H-Index
1
Papers
2
Total Citations
2
Avg Citations/Paper
🏆 Most Cited Paper
Overview of the Lambda-* Performance Reasoning Frameworks
2 citations · 2009
📈 Most Prolific Year: 2009 (1 Papers)
🤝 Key Collaborators: 1
🏛 Institutions: Carnegie Mellon University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 11 days ago