Dissertation: Computational Support for Measuring Requirement Change Volatility in Complex System Design.
Thesis:Predicting Requirement Change Propagation through Investigation of Physical and Functional Domains
Papers & Articles
Hein, P.H., Menon, V., and Morkos, B., Exploring Requirement Change Propagation Through the Physical and Functional Domain, ASME 2015 International Design Engineering Technical Conferences & Computers and Information in Engineering Conference, Boston, MA, doi:10.1115/DETC2015-47756.
Hein, P.H., Morkos, B., and Sen, C., Utilizing Node Interference Method and Complex Network Centrality Metrics to Explore Requirement Change Propagation, ASME 2017 International Design Engineering Technical Conferences & Computers and Information in Engineering Conference, Cleveland, OH, doi:10.1115/DETC2017-67930.
Hein, P.H., Voris, N., and Morkos, B., Identifying Failure Modes and Effects through Design for Assembly Analysis, ASME 2018 International Design Engineering Technical Conferences & Computers and Information in Engineering Conference, Quebec City, Canada, doi:10.1115/DETC2018-86314.
Hein, P.H., Voris, N., Morkos, B., Predicting Requirement Change Propagation through Investigation of Physical and Functional Domains, Research in Engineering Design, DOI: 10.1007/s00163-017-0271-6.
Hein, P.H., Kames, E., Cheng, C., and Morkos, B., Employing Machine Learning Techniques to Assess Requirement Change Volatility, Research in Engineering Design, DOI: 10.1007/s00163-020-00353-6.
Hein, P.H., Kames, E., Cheng, C., and Morkos, B., Reasoning Support for Predicting Requirement Change Volatility using Complex Network Metrics, Journal of Engineering Design, DOI: 10.1080/09544828.2022.2154051.
Hein, P.H., Kames, E., Cheng, C., and Morkos, B., A Network Interference Approach to Analyzing Change Propagation in Requirements, Journal of Computing & Information Science in Engineering, DOI: 10.1115/1.4065273.