Address comments

Signed-off-by: harupy <hkawamura0130@gmail.com>

.github/workflows/cross-version-testing.md

@@ -28,7 +28,7 @@ Cross version testing is a testing strategy to ensure ML integrations in MLflow
 sklearn:
   package_info:
     # [Required] `pip_release` specifies the package this integration depends on.
-    pip_release: "scikit-learn"
+    pip_release: 'scikit-learn'
 
     # [Optional] `install_dev` specifies a set of commands to install the dev version of the package.
     # For example, the command below builds a wheel from the latest main branch of
@@ -48,17 +48,17 @@ sklearn:
     # For example, '">= 0.24.0": ["xgboost"]' is interpreted as 'if the version of scikit-learn
     # to install is newer than or equal to 0.24.0, install xgboost'.
     requirements:
-      ">= 0.24.0": ["xgboost"]
+      '>= 0.24.0': ['xgboost']
 
     # [Required] `minimum` specifies the minimum supported version for the latest release of MLflow.
-    minimum: "0.20.3"
+    minimum: '0.20.3'
 
     # [Required] `maximum` specifies the maximum supported version for the latest release of MLflow.
-    maximum: "1.0"
+    maximum: '1.0'
 
     # [Optional] `unsupported` specifies a list of versions that should NOT be supported due to
     # unacceptable issues or bugs.
-    unsupported: ["0.21.3"]
+    unsupported: ['0.21.3']
 
     # [Required] `run` specifies a set of commands to run tests.
     run: |
@@ -114,8 +114,9 @@ the previous section:
 
 ## Why do we run tests against development versions?
 
-In cross-version testing, we daily run tests against not only publicly available versions but also
-development versions installed from GitHub or nightly wheels. This section explains why.
+In cross-version testing, we run daily tests against both publicly available and pre-release
+development versions for all dependent libraries that are used by MLflow.
+This section explains why.
 
 ### Without dev version test
 
@@ -134,7 +135,7 @@ First, let's take a look at what would happen **without** dev version test.
 time
 ```
 
-- We can't notice the change until XGBoost 1.5.0 is released.
+- We didn't notice the change until after XGBoost 1.5.0 was released.
 - MLflow 1.20.0 doesn't work with XGBoost 1.5.0.
 
 ### With dev version test