Year: 2018
Type: dissertation
Abstract: This thesis explores the process of refactoring legacy scientific software to improve overall usability and the ease with which a researcher can modify the software. The legacy code is Fortran code used to run different mechanical loading scenarios on a user-defined material subroutine. Each material is represented by a Fortran subroutine, and a separate Fortran program was used to call the material. To upgrade this program without sacrificing too much performance and functionality, the material subroutine is compiled into a Python library using f2py, and the driver code is translated into Python. This paper covers this upgrade process, the impact it had on results, and how it improved analysis of the output data.
DOI: 10.54718/dckz4368
Author: Hunter, Robert H.
Institution: Mississippi State University
Language: English
Subfield: Software
Field: Computer Science
Domain: Physical Sciences
Open Access status: gold
Funder: Mississippi State University
OpenAlex ID: W4410992787