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Wanted: standards for automatic reproducibility of computational experiments

Authors :
Grayson, Samuel
Milewicz, Reed
Teves, Joshua
Katz, Daniel S.
Marinov, Darko
Publication Year :
2023

Abstract

Those seeking to reproduce a computational experiment often need to manually look at the code to see how to build necessary libraries, configure parameters, find data, and invoke the experiment; it is not automatic. Automatic reproducibility is a more stringent goal, but working towards it would benefit the community. This work discusses a machine-readable language for specifying how to execute a computational experiment. We invite interested stakeholders to discuss this language at https://github.com/charmoniumQ/execution-description .<br />Comment: Submitted to SE4RS'23 Portland, OR

Details

Database :
arXiv
Publication Type :
Report
Accession number :
edsarx.2307.11383
Document Type :
Working Paper