Difference between revisions of "Code Coverage Tool for R"
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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. | 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. | ||
| + | |||
| + | The Code Coverage group released a revised covr package over the summer 2017 ([https://www.r-consortium.org/blog/2017/06/28/code-coverage-tool-for-r-working-group-achieves-first-release]). | ||
Github project: https://github.com/jimhester/covr/issues | Github project: https://github.com/jimhester/covr/issues | ||
| Line 14: | Line 16: | ||
* Chen Liang, Oracle | * Chen Liang, Oracle | ||
* Willem Ligtenberg, Open Analytics | * Willem Ligtenberg, Open Analytics | ||
| − | |||
* Vlad Sharanhovich, Oracle | * Vlad Sharanhovich, Oracle | ||
* Tobias Verbeke, Open Analytics | * Tobias Verbeke, Open Analytics | ||
| Line 20: | Line 21: | ||
* Hadley Wickham, RStudio – ISC Sponsor | * Hadley Wickham, RStudio – ISC Sponsor | ||
| − | === Status as of | + | === Status as of August 10, 2017 === |
| − | * Branch coverage with profile stats – | + | * Branch coverage with profile stats – Deferred |
| − | * Define canonical performance benchmark suite – | + | * Define canonical performance benchmark suite – Done |
| − | * #144 store test results as well as coverage – | + | * #144 store test results as well as coverage – Deferred |
| − | * #134 ICC compatibility – | + | * #134 ICC compatibility – Done |
* Make code coverage use more pervasive in R community – in progress | * Make code coverage use more pervasive in R community – in progress | ||
* Correct behavior for parallel code execution – DONE | * Correct behavior for parallel code execution – DONE | ||
| Line 34: | Line 35: | ||
=== Meeting History === | === Meeting History === | ||
| + | * November 30, 2017 | ||
| + | * November 8, 2017 | ||
| + | * September 14, 2017 | ||
| + | * August 24, 2017 | ||
| + | * August 10, 2017 | ||
| + | * July 27, 2017 | ||
| + | * June 15, 2017 | ||
| + | * March 9, 2017 | ||
| + | * February 16, 2017 | ||
| + | * January 26, 2017 | ||
| + | * January 5, 2017 | ||
| + | * December 15, 2016 | ||
| + | * October 20, 2016 | ||
* October 4, 2016 | * October 4, 2016 | ||
* September, 22, 2016 | * September, 22, 2016 | ||
Latest revision as of 15:46, 12 April 2018
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.
The Code Coverage group released a revised covr package over the summer 2017 ([1]).
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
- Vlad Sharanhovich, Oracle
- Tobias Verbeke, Open Analytics
- Qin Wang, Oracle
- Hadley Wickham, RStudio – ISC Sponsor
Status as of August 10, 2017
- Branch coverage with profile stats – Deferred
- Define canonical performance benchmark suite – Done
- #144 store test results as well as coverage – Deferred
- #134 ICC compatibility – Done
- 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
- November 30, 2017
- November 8, 2017
- September 14, 2017
- August 24, 2017
- August 10, 2017
- July 27, 2017
- June 15, 2017
- March 9, 2017
- February 16, 2017
- January 26, 2017
- January 5, 2017
- December 15, 2016
- October 20, 2016
- 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
