Designing Types for R, Empirically (Dataset)
Authors/Creators
- 1. Northeastern University
- 2. Czech Technical University in Prague
- 3. Northeastern University & Czech Technical University in Prague
Description
This dataset is intended to accompany the paper "Designing Types for R, Empirically" (@ OOPSLA'20, link to paper). This data was obtained by running the Typetracer (aka propagatr) dynamic analysis tool (link to tool) on the test, example, and vignette code of a corpus of >400 extensively used R packages.
Specifically, this dataset contains:
- function type traces for >400 R packages (raw-traces.tar.gz);
- trace data processed into a more readable/usable form (processed-traces.tar.gz), which was used in obtaining results in the paper;
- inferred type declarations for the >400 R packages using various strategies to merge the processed traces (see type-declarations-* directories), and finally;
- contract assertion data from running the reverse dependencies of these packages and checking function usage against the declared types (contract-assertion-reverse-dependencies.tar.gz).
A preprint of the paper is also included, which summarizes our findings.
Fair warning Re: data size: the raw traces, once uncompressed, take up nearly 600GB. The already processed traces are in the 10s of GB, which should be more manageable for a consumer-grade computer.
Files
types-for-r-empircally-preprint.pdf
Additional details
Related works
- Is cited by
- https://zenodo.org/record/4037278#.X4itZ3WYVhE (URL)