Approximating Optimal Direct-Access Merge Performance. - Brian T. Bennett; W. Donald Frazer (IFIP Congress (1), 1971)

Bounds on Optimal Merge Performance, and a Strategy for Optimality. - W. Donald Frazer; Brian T. Bennett (J. ACM, 1972)

LRU Stack Processing. - Brian T. Bennett; Vincent J. Kruskal (IBM J. Res. Dev., 1975)

Transient-Free Working-Set Statistics. - Malcolm C. Easton; Brian T. Bennett (Commun. ACM, 1977)

Permutation Clustering: An Approach to On-Line Storage Reorganization. - Brian T. Bennett; Peter A. Franaszek (IBM J. Res. Dev., 1977)

Adaptive Variation of the Transfer Unit in a Storage Hierarchy. - Peter A. Franaszek; Brian T. Bennett (IBM J. Res. Dev., 1978)

A Distributed Object Oriented Framework to Offer Transactional Support for Long Running Business Processes. - Brian T. Bennett; Bill Hahm; Avraham Leff; Thomas A. Mikalsen; Kevin Rasmus; James T. Rayfield; Isabelle Rouvellou (Middleware, 2000)

Preparing for project retrospectives. - Brian T. Bennett; Martin L. Barrett (J. Comput. Sci. Coll., 2008)

Teaching artificial intelligence in a multidisciplinary computing environment. - Brian T. Bennett (J. Comput. Sci. Coll., 2017)

Incorporating devops into undergraduate software engineering courses: a suggested framework. - Brian T. Bennett; Martin L. Barrett (J. Comput. Sci. Coll., 2018)

Spline Based Intrusion Detection in Vehicular Ad Hoc Networks (VANET). - David A. Schmidt; Mohammad S. Khan; Brian T. Bennett (CoRR, 2019)

Categorizing user stories in the software engineering classroom. - Brian T. Bennett; Tristan Onek (J. Comput. Sci. Coll., 2019)

One department, four undergraduate computing programs. - Tony Pittarese; Brian T. Bennett; Mathew Desjardins (J. Comput. Sci. Coll., 2019)

Spline-based intrusion detection for VANET utilizing knot flow classification. - David A. Schmidt; Mohammad S. Khan; Brian T. Bennett (Internet Technol. Lett., 2020)

An evaluation of continuous integration and delivery frameworks for classroom use. - Jarred Light; Phil Pfeiffer; Brian T. Bennett (ACM Southeast Conference, 2021)

Machine learning predictive analytics for player movement prediction in NBA: applications, opportunities, and challenges. - Dembe Koi Stephanos; Ghaith Husari; Brian T. Bennett; Emma Stephanos (ACM Southeast Conference, 2021)

Shifting traditional undergraduate software engineering instruction to a DevOps focus. - Brian T. Bennett (J. Comput. Sci. Coll., 2021)

Preparing Students for Software Production with DevOps: A Graduate Course Approach. - Brian T. Bennett (J. Comput. Sci. Coll., 2023)