Research

Publications

Journal Articles

Bennett, B.T. (2021). Shifting traditional undergraduate software engineering instruction to a DevOps focus. Journal of Computing Sciences in Colleges,  36 (5), 129–138. doi: 10.5555/3447307.3447319 [Peer Reviewed]. Link

Schmidt, D. A., Khan, M. S., Bennett, B. T. (2020). Spline-Based Intrusion Detection for VANET Utilizing Knot Flow Classification. Internet Technology Letters, 3(3). 1-6. doi: 10.1002/itl2.155 [Peer Reviewed]. Link

Bennett, B. T. , & Onek, T. (2019). Categorizing User Story Problems in the Software Engineering Classroom. Journal of Computing Sciences in Colleges, 35(4). 52-59. [Peer Reviewed]. Link

Pittarese, T., Bennett, B. T., & Desjardins, M. (2019). One Department, Four Undergraduate Computing Programs. Journal of Computing Sciences in Colleges, 35(4). 115–123. [Peer Reviewed]. Link

Bennett, B. T. , & Barrett, M. L. (2018). Incorporating DevOps into undergraduate software engineering courses: A suggested framework. Journal of Computing Sciences in Colleges, 34(2). 180-187. [Peer Reviewed]. [Presented 3 November 2018, Roanoke College] Link

Bennett, B. T.  (2017). Teaching artificial intelligence in a multidisciplinary computing environment. Journal of Computing Sciences in Colleges, 33(2). 222-228. [Peer Reviewed]. [Presented 4 November 2018, Furman University]. Link

Bennett, B., & Barrett, M. L. (2008). Preparing for project retrospectives. Journal of Computing Sciences in Colleges. 24(2). 157-163. [Peer Reviewed] Link

Conference Proceedings

Light, D. J., Pfeiffer, P., & Bennett, B.T. (2021). An Evaluation of Continuous Integration and Delivery Frameworks for Classroom Use. Proceedings of the 2021 ACM Southeast Conference (ACM SE 2021), April 15-17, 2021, Virtual Event. [Peer Reviewed].

Stephanos, D.K., Husari, G., Bennett, B.T., & Stephanos, E. (2021). Machine Learning Predictive Analytics for Player Movement Prediction in NBA: Applications, Opportunities, and Challenges. Proceedings of the 2021 ACM Southeast Conference (ACM SE 2021), April 15-17, 2021, Virtual Event. [Peer Reviewed].

Schmidt, D. A., Khan, M. S., & Bennett, B. T. (2019). Spline Based Intrusion Detection in Vehicular Ad Hoc Networks (VANET). Proceedings of the 2019 IEEE Southeast Conference. [Peer Reviewed] [Presented 12 April 2019]. Link

Jackson, K. A. &  Bennett, B. T.  (2018). Locating Security Vulnerabilities in Java Byte Code using Natural Language Techniques. Proceedings of the 2018 IEEE Southeast Conference. [Peer Reviewed] [Presented 20 April 2018] Link

Bennett, B. T. (2017). Using Hierarchical Agglomerative Clustering to Locate Potential Aspect Interference. Proceedings of the 2017 IEEE Southeast Conference. doi: 10.1109/SECON.2017.7925379 [Peer Reviewed] Link

Bennett, B. T., & Mitropoulos, F. J. (2016). New Metrics for Assessing Aspect Coupling. Proceedings of the 2016 IEEE Southeast Conference. doi: 10.1109/SECON.2016.7506722 [Peer Reviewed] Link

 

Conference Presentations

Bennett, B. T. (2021, January). Shifting traditional undergraduate software engineering instruction to a DevOps focus. Presented at the 34th Annual Consortium for Computing Sciences in Colleges Southeastern Conference, Asheville, NC [virtual conference]

Bennett, B. T. (2019, November). Categorizing User Story Problems in the Software Engineering Classroom. Presented at the 33rd Annual Consortium for Computing Sciences in Colleges Southeastern Conference, Auburn, AL

Pittarese, T., & Bennett, B. T. (2019, November). One Department, Four Undergraduate Computing Programs. Presented at the 33rd Annual Consortium for Computing Sciences in Colleges Southeastern Conference, Auburn, AL

Bennett, B. T. (2018, November). Incorporating DevOps into Undergraduate Software Engineering Courses: A Suggested Framework. Presented at the 32nd Annual Consortium for Computing Sciences in Colleges Southeastern Conference, Salem, VA

Bennett, B. T. (2017, November). Teaching artificial intelligence in a multidisciplinary computing environment. Presented at the 31st Annual Consortium for Computing Sciences in Colleges Southeastern Conference, Greenville, SC

Bennett, B. T. (2017, March). Using Hierarchical Agglomerative Clustering to Locate Potential Aspect Interference. Presented at the 2017 IEEE SoutheastCon, Concord (Charlotte), NC

Bennett, B. T., & Mitropoulos, F. J. (2016, March). New Metrics for Assessing Aspect Coupling. Presented at the 2016 IEEE SoutheastCon, Norfolk, VA

 

Grant Proposals

Senior Personnel. NSF Accelerating Discovery: Educating the Future STEM Workforce (AD). “Industrial CAPSTEM Program for Students at a Regional University (ICAP)”. PI: Dr. Michele Joyner (Mathematics and Statistics), Co-PIs: Dr. Ryan Nivens (Education), Dr. Steve Karsai (Biology), Dr. Gary Henson (Physics and Astronomy), Dr. Catherine McCusker (Chemistry); Senior Personnel: Dr. Anant Godbole (Mathematics and Statistics), Dr. Richard Ignace (Physics and Astronomy), Dr. Brian Bennett (Computing). Submitted July 2, 2018. Requested Amount: $1,201,032. [Not Funded]

 

Working or Pending Papers

Gillenwater, J., & Bennett, B. T. (2020). Optimizing Text Entry for Virtual Reality Keyboards. Working.

Collaborations

Ahmed, M. S., Hoque, M. A., Bennett, B., Kamrani, M., Wali, B., & Khattak, A. (2017). "Freeway Merge Assistance System using DSRC". Link

 

Posters

Nshimiyimana, J.-M., Oyeniyi, O., Seiler, M., Hawkins, K., Adeyanju, T., Kawsar, F., Bennett, B., Wykoff, R. (2019, April). Development of the College of Public Health Indicator Visualization Tool. Poster presented at the Appalachian Student Research Forum, Johnson City, TN.

Ivey, A., Bennett, B., & Karsai, I. (2017, April). Emergent Properties in Competition and Predation. Poster session presented at the Appalachian Student Research Forum, Johnson City, TN.

 

Dissertation

Bennett, B. T. (2015). Locating Potential Aspect Interference Using Clustering Analysis. Doctoral dissertation. Nova Southeastern University. Graduate School of Computer and Information Sciences. Link

 

Research Agenda

  • Teaching Serverless Environments
  • Static Analysis of Mobile Platform Applications
  • NLP in User Stories
  • Visualization of Program Code