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Combinatorial Methods for Trust and Assurance

Combinatorial Testing for AI-Enabled Systems

Talks from Workshop on Combinatorial Testing for Artificial Intelligence-Enabled Systems
September 4,  2024
Virginia Tech Research Center, Arlington, VA
https://sites.google.com/vt.edu/ct-workshop

The goal of this workshop was to provide practitioners and researchers with a foundational understanding of combinatorial testing techniques and applications to testing AI-enabled software systems (AIES).  Participants included staff from Cybersecurity and Infrastructure Security Agency (CISA), Office of Sec. of Defense, Director Operational Test & Evaluation (OSD/DOT&E), George Mason University, Johns Hopkins University Applied Physics Laboratory (JHU/APL), the Institute for Defense Analyses (IDA), and the Nuclear Regulatory Commission (NRC). 

Tutorial and discussion topics included:

  • Introduction to combinatorial testing (CT), an overview of applying CT to test traditional software systems, including real-world examples and case studies.

  • How Test and Evaluation (T&E) of AIES differ from traditional software systems due to the data-driven nature of these systems and large input space, and how combinatorial testing methods can be applied.

  • Role of combinatorial coverage in data assurance across the lifecycle of AIES, including practical exercises with the Coverage of Data Explorer (CoDEX) tool.

Presentations:

Contacts

Rick Kuhn, NIST
Address: https://www.nist.gov/people/d-richard-kuhn

Raghu Kacker, NIST
301-975-2109
Address: http://math.nist.gov/~RKacker/

M S Raunak, NIST

Topics

Security and Privacy: assurance, modeling, testing & validation

Technologies: semiconductors, software & firmware

Created May 24, 2016, Updated September 12, 2024