Rate My Professor Myra Cohen

Cohen's research specializes in software testing for highly-configurable, embedded, cyber-physical, and scientific software systems, including search-based software engineering and synergies with synthetic biology and bioinformatics. Her projects encompass dependable, explainable AI-driven computational biology; quantum computing simulations; blockchain fault tolerance foundations; and just-in-time verification for high-performance compilers. She has earned prestigious awards such as the NSF CAREER award, AFOSR Young Investigator Award, four ACM distinguished paper awards, the 2025 IEEE Technical Council on Software Engineering Barbora Bühnová Leadership Award, and recognition as an ACM Distinguished Scientist, ASE Fellow, Better Scientific Software Fellow, and IEEE Senior Member. Cohen's influence is evident in her leadership in the field, including steering committees for IEEE/ACM ESEC/FSE, ICST, and SPLC; program co-chairships for ESEC/FSE 2020 and ISSTA 2025; and general chair for ASE 2015. Key publications include "Covering arrays for efficient fault characterization in complex configuration spaces" (IEEE Transactions on Software Engineering, 2006), "Constructing interaction test suites for highly-configurable systems in the presence of constraints: a greedy approach" (IEEE TSE, 2008), "Practical Combinatorial Interaction Testing: Empirical Findings on Efficiency and Early Fault Detection" (IEEE TSE, 2015), and "An empirical investigation of organic software product lines" (Empirical Software Engineering, 2021).