fix(report): unify .rst section marks

[csit.git] / docs / report / introduction / methodology_trending / trend_analysis.rst

diff --git a/docs/report/introduction/methodology_trending/trend_analysis.rst b/docs/report/introduction/methodology_trending/trend_analysis.rst
index 2bb5499..20ad464 100644 (file)
--- a/docs/report/introduction/methodology_trending/trend_analysis.rst
+++ b/docs/report/introduction/methodology_trending/trend_analysis.rst
@@ -22,7 +22,7 @@ Implementation details
 ~~~~~~~~~~~~~~~~~~~~~~
 
 Partitioning into groups
 ~~~~~~~~~~~~~~~~~~~~~~
 
 Partitioning into groups

-------------------------
+````````````````````````

 
 While sometimes the samples within a group are far from being distributed
 normally, currently we do not have a better tractable model.
 
 While sometimes the samples within a group are far from being distributed
 normally, currently we do not have a better tractable model.


@@ -39,7 +39,7 @@ results).
 The group boundaries are selected based on `Minimum Description Length`_.
 
 Minimum Description Length
 The group boundaries are selected based on `Minimum Description Length`_.
 
 Minimum Description Length

---------------------------
+``````````````````````````

 
 `Minimum Description Length`_ (MDL) is a particular formalization
 of `Occam's razor`_ principle.
 
 `Minimum Description Length`_ (MDL) is a particular formalization
 of `Occam's razor`_ principle.


@@ -103,7 +103,7 @@ We are going to describe the behaviors,
 as they motivate our choice of trend compliance metrics.
 
 Sample time and analysis time
 as they motivate our choice of trend compliance metrics.
 
 Sample time and analysis time

------------------------------
+`````````````````````````````

 
 But first we need to distinguish two roles time plays in analysis,
 so it is more clear which role we are referring to.
 
 But first we need to distinguish two roles time plays in analysis,
 so it is more clear which role we are referring to.


@@ -132,7 +132,7 @@ so the values reported there are likely to be different
 from the later analysis time results shown in dashboard and graphs.
 
 Ordinary regression
 from the later analysis time results shown in dashboard and graphs.
 
 Ordinary regression

--------------------
+```````````````````

 
 The real performance changes from previously stable value
 into a new stable value.
 
 The real performance changes from previously stable value
 into a new stable value.


@@ -143,7 +143,7 @@ is enough for anomaly detection to mark this regression.
 Ordinary progressions are detected in the same way.
 
 Small regression
 Ordinary progressions are detected in the same way.
 
 Small regression

-----------------
+````````````````

 
 The real performance changes from previously stable value
 into a new stable value, but the difference is small.
 
 The real performance changes from previously stable value
 into a new stable value, but the difference is small.


@@ -162,7 +162,7 @@ is still not enough for the detection).
 Small progressions have the same behavior.
 
 Reverted regression
 Small progressions have the same behavior.
 
 Reverted regression

--------------------
+```````````````````

 
 This pattern can have two different causes.
 We would like to distinguish them, but that is usually
 
 This pattern can have two different causes.
 We would like to distinguish them, but that is usually


@@ -196,7 +196,7 @@ to increase performance, the opposite (temporary progression)
 almost never happens.
 
 Summary
 almost never happens.
 
 Summary

--------
+```````

 
 There is a trade-off between detecting small regressions
 and not reporting the same old regressions for a long time.
 
 There is a trade-off between detecting small regressions
 and not reporting the same old regressions for a long time.