Update doc/developer_guide/aws.md

Co-authored-by: Christoph Kuhnke <[email protected]>

doc/developer_guide/aws.md

@@ -23,26 +23,12 @@ Also, the ssh password authentication will be enabled, and for security reasons
 
 ### Tests
 
-DSS comes with a number of tests in directory `test`.
-There are subdirectories clustering tests with common scope and prerequisites e.g. external resources.
-
-| Directory           | Content |
-|---------------------|---------|
-| `test/unit`         | Simple unit tests requiring no additional setup or external resources. |
-| `test/integration`  | Integration tests with longer runtime and some requiring additional resources. |
-| `test/aws`          | Tests involving AWS resources.  In order to execute these tests you need an AWS account, a user with permissions in this account, and an access key. |
-
-To run the tests in file `test/integration/test_ci.py` please use
-```shell
-export DSS_RUN_CI_TEST=true
-poetry run test/integration/test_ci.py
-```
+XAL comes with a number of tests in directory `test`. Besides unit and integrations tests in the respective directories there are tests in directory `codebuild`, see [Executing AWS CodeBuild](#executing-aws-codebuild).  To run these tests manually please use
+ ```shell export DSS_RUN_CI_TEST=true; poetry run test/codebuild/test_ci.py  ```
 
 Creating a docker image is quite time-consuming, currently around 7 minutes. In order to use an existing docker image in the tests in `integration/test_create_dss_docker_image.py` simply add CLI option `--dss-docker-image` when calling `pytest`:
 
-```shell
-poetry run pytest --dss-docker-image exasol/data-science-sandbox:0.1.0
-```
+ ```shell  poetry run pytest --dss-docker-image exasol/data-science-sandbox:0.1.0  ```
 
 #### Executing tests involving AWS resources