Port, D., Taber, B. & Emkani, P. Investigating effectiveness and compliance to DevOps
policies and practices for managing productivity and quality variability. Journal of Sys-
tems and Software 213, 112030 (2024).

Port, D. & Taber, W. Actionable Analytics for Strategic Maintenance of Critical Software:
An Industry Experience Report. IEEE Software 35, 58–63 (2018).

Hill, E., Johnson, P. M. & Port, D. Is an Athletic Approach the Future of Software Engi-
neering Education? IEEE Software 33, 97–100 (2016).

Panko, R. R. & Port, D. End User Computing: The Dark Matter (and Dark Energy) of Cor-
porate IT. Journal of Organizational and End User Computing 25, 1–19 (2013)

Chen, A., Huo, T., Nam, Y., Peruma, A. & Port, D. The Impact of Generative AI-Powered
Code Generation Tools on Software Engineer Hiring: Recruiters’ Experiences, Perceptions,
and Strategies in Proceedings of the 58th Hawaii International Conference on System Sciences
(HICSS) (2025), 1–10.

Kuh, A., Port, D., Santhanam, N. P., Thompson, L. & Lee, M. A Novel Multidisciplinary
Graduate Education Program in Data Science in Proceedings of the 2025 International Joint
Conference on Neural Networks (IJCNN) (2025), 1–8.
 

Port, D. & Taber, B. Investigating an Industry Practical Model for Confidence in Expert Cost
Estimation of Feature Enhancement Requests in Proceedings of the 57th Hawaii International
Conference on System Sciences (HICSS) (2024), 7770–7779. https://hdl.handle.net/
10125/107320.
 

Port, D., Taber, W. & Huang, L. Investigating a NASA Cyclomatic Complexity Policy on Main-
tenance Risk of a Critical System in Proceedings of the International Conference on Software
Engineering (ICSE-SEIP) (2023), 211–221.

Port, D. & Wilf, J. M. Classifying Risk Uncertainty for Decision Making in Proceedings of the
52nd Hawaii International Conference on System Sciences (HICSS) (2019), 1–8. https://
hdl.handle.net/10125/60173.