R is a vector-oriented, dynamic language, mostly used in data-science. It is difficult to statically analyze, and so we mainly use dynamic techniques to gather insights about R programs. One instance of them is fuzzing.
The fast-and-loose, permissive semantics of dynamic programming languages limit the power of static analyses. For that reason, soundness is often traded for precision through dynamic program analysis. Dynamic analysis is only as good as the available …