From 6c6c8fc623510fe8c35b783acbc66fa0baf2b8cd Mon Sep 17 00:00:00 2001 From: Neil Walkinshaw Date: Wed, 21 Oct 2026 21:52:17 +0200 Subject: [PATCH 1/2] Fix documentation link in README Updated the documentation link to point to the latest version. --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index 4528a991..ea7457d4 100644 --- a/README.md +++ b/README.md @@ -83,7 +83,7 @@ For more information on how to use the Causal Testing Framework, please refer to ## Usage >[!NOTE] -> Step-by-step tutorials can be found on our [documentation](https://causal-testing-framework.readthedocs.io/en/latest/tutorials.html). +> Step-by-step tutorials can be found on our [documentation](https://causal-testing-framework.readthedocs.io/en/latest/?badge=latest). 1. To run the causal testing framework, you need some runtime data from your system, some causal test cases, and a causal DAG that specifies the expected causal relationships between the variables in your runtime data (and any other relevant variables that are _not_ recorded in the data but are known to be relevant). From 8b7d7907fffe7426ec10a8b1da4bd72ddf68ed56 Mon Sep 17 00:00:00 2001 From: Michael Foster <13611658+jmafoster1@users.noreply.github.com> Date: Fri, 23 Oct 2026 09:48:37 +0100 Subject: [PATCH 2/2] Removed `?badge=latest` parameter --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index ea7457d4..981c4e17 100644 --- a/README.md +++ b/README.md @@ -83,7 +83,7 @@ For more information on how to use the Causal Testing Framework, please refer to ## Usage >[!NOTE] -> Step-by-step tutorials can be found on our [documentation](https://causal-testing-framework.readthedocs.io/en/latest/?badge=latest). +> Step-by-step tutorials can be found on our [documentation](https://causal-testing-framework.readthedocs.io/en/latest/). 1. To run the causal testing framework, you need some runtime data from your system, some causal test cases, and a causal DAG that specifies the expected causal relationships between the variables in your runtime data (and any other relevant variables that are _not_ recorded in the data but are known to be relevant).