ABSTRACT
Developing and using of software has become an increasing factor in the scientific production of knowledge and has become an indispensable skill for research scholars. To examine this algorithmic regime of science, new methodological approaches are needed. We present our method of computational science code studies (CSS), which focuses on the written code of software, and introduce two software tools we have developed to analyse data structures, code layers, and code genealogies. In a case study from computational astrophysics we demonstrate how the translation from mathematical to computational models in science influences the way research objects and concepts are conceived in the algorithmic regime of science. We understand CSS as a method for science studies in general.
