Published October 16, 2020 | Version 1.0.0

Designing Types for R, Empirically (Dataset)

  • 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:

  1. function type traces for >400 R packages (raw-traces.tar.gz);
  2. trace data processed into a more readable/usable form (processed-traces.tar.gz), which was used in obtaining results in the paper;
  3. inferred type declarations for the >400 R packages using various strategies to merge the processed traces (see type-declarations-* directories), and finally;
  4. 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

Files (19.3 GB)

Name Size
md5:1bc7cc3c9ec53957ccaf2ccf0de173fb
19.3 GB Download
md5:a978c60a3559f532cf3eeed67c1343f7
851.0 kB Preview Download

Additional details

Related works

Funding

European Commission
ELE - Evolving Language Ecosystems 695412