Code Coverage Tool for R

Working Group: Code Coverage Tool for R

Code coverage helps to ensure greater software quality by reporting how thoroughly test suites cover the various code paths. Having a tool that supports the breadth of the R language across multiple platforms, and that is used by R package developers and R core teams, helps to improve software quality for the R Community. While a few code coverage tools exist for R, this Oracle-proposed ISC project aims to provide an enhanced tool that addresses feature and platform limitations of existing tools via an ISC-established working group. It also aims to promote the use of code coverage more systematically within the R ecosystem.

Github project: https://github.com/jimhester/covr/issues

Working Group Members

• Shivank Agrawal, Oracle
• Chris Campbell, Mango Solutions
• Santosh Chaudhari, Oracle
• Karl Forner, Quartz Bio
• Jim Hester, RStudio
• Mark Hornick, Oracle – Group Leader
• Chen Liang, Oracle
• Willem Ligtenberg, Open Analytics
• Andy Nicholls, Mango Solutions
• Vlad Sharanhovich, Oracle
• Tobias Verbeke, Open Analytics
• Qin Wang, Oracle
• Hadley Wickham, RStudio – ISC Sponsor

Status as of October 4, 2016

• Branch coverage with profile stats – in progress
• Define canonical performance benchmark suite – in progress
• #144 store test results as well as coverage – in progress
• #134 ICC compatibility – TESTS COMPLETE
• Make code coverage use more pervasive in R community – in progress
• Correct behavior for parallel code execution – DONE
• Resolve package dependency license issues – DONE
• #174 R6 methods are not covered - DONE
• #117 covr with a local jenkins builder – DONE
• #99 Shiny Source Tab Indicate the Filename – DONE
• Observations testing ORE with covr – DONE

Meeting History

• October 4, 2016
• September, 22, 2016
• September 8, 2016
• August 18, 2016
• July 28, 2016
• July 7, 2016
• June 16, 2016
• June 2, 2016
• May 24, 2016
• May 15, 2016