Remove testing chapter

_sidebar.md

@@ -4,7 +4,6 @@
    * [Version Control](/best_practices/version_control.md)
    * [Code Quality](/best_practices/code_quality.md)
    * [Code Review](/best_practices/code_review.md)
-   * [Testing](/best_practices/testing.md)
    * [Releases](/best_practices/releases.md)
    * [Documentation](/best_practices/documentation.md)
    * [Standards](/best_practices/standards.md)

best_practices/documentation.md

@@ -87,7 +87,7 @@ developer and contributor since things have to be explained only once. A good CO
 file describes at least how to perform the following tasks:
 
 * How to [install the dependencies](#documented-development-setup)
-* How to run [(unit) tests](testing.md#unit-tests)
+* How to run [(unit) tests](https://the-turing-way.netlify.app/reproducible-research/testing/testing-unittest)
 * What [code style](https://the-turing-way.netlify.app/reproducible-research/code-quality/code-quality-style.html) to use
 * Reference to [code of conduct](#code-of-conduct)
 * When using a [git branching model](version_control.md#choose-one-branching-model), the choice of branching model

best_practices/language_guides/python.md

@@ -174,13 +174,13 @@ The development environment will typically accumulate (old) packages during deve
 ### Code coverage
 
 When you have tests it is also a good to see which source code is exercised by the test suite.
-[Code coverage](../testing.md#Code_Coverage) can be measured with the [coverage](https://coverage.readthedocs.io) Python package.
+[Code coverage](https://the-turing-way.netlify.app/reproducible-research/testing/testing-guidance#aim-to-have-a-good-code-coverage) can be measured with the [coverage](https://coverage.readthedocs.io) Python package.
 The coverage package can also generate html reports which show which line was covered.
 Most test runners have have the coverage package integrated.
 
-The code coverage reports can be published online in code quality service or code coverage services.
+The code coverage reports can be published online using a code quality service or code coverage services.
 Preferred is to use one of the code quality service which also handles code coverage listed [below](#Code_quality_analysis_tools_and_services).
-If this is not possible or does not fit then use one of the generic code coverage service list in the [software guide](../testing.md#Code_coverage_services).
+If this is not possible or does not fit then use a generic code coverage service such as [Codecov](https://about.codecov.io/) or [Coveralls](https://coveralls.io/).
 
 ## Code quality analysis tools and services
 

best_practices/language_guides/r.md

@@ -127,7 +127,7 @@ R function documentation offers plenty of space to document the functionality, i
 See also [checking](http://r-pkgs.had.co.nz/check.html) and [testing](http://r-pkgs.had.co.nz/tests.html) R packages. note that within RStudio R package check and R package test can be done via simple toolbar clicks.
 
 ### Continuous integration
-Continuous integration should be done with an [online service](../testing.md#Online-services-for-continuous-integration), see [Chapter](../testing.md) on testing.
+[Continuous integration](https://the-turing-way.netlify.app/reproducible-research/ci) should be done with an online service.
 
 ### Debugging and Profiling
 Debugging is possible in RStudio, see [link](https://support.posit.co/hc/en-us/articles/205612627-Debugging-with-RStudio). For profiling tips see [link](http://adv-r.had.co.nz/Profiling.html)