- - **Throughput Trend [Mpps]** : last value of trend calculated over a
- rolling window.
- - **Trend Compliance** : calculated based on detected anomalies over a
- rolling window, listed in precedence order - i) **failure** if 3
- consecutive outliers, ii) **regression** if any regressions, iii)
- **progression** if any progressions, iv) **normal** if data compliant
- with trend; test cases listed alphabetically within compliance category.
- - **Top Anomaly [Mpps]** : i) outlier if **failure**, ii) drop
- if **regression**, iii) gain if **progression**, iv) **-**
- if normal i.e. within trend.
- - **Change [%]** : **Top Anomaly** vs. **Throughput Trend**, **-** if
- normal.
- - **Outliers [Number]** : number of outliers detected over a rolling window.
-
-Tables are listed in sections 1.x. Followed by daily trending graphs in
-sections 2.x. Daily trending data used to generate the graphs is listed in
-sections 3.x.
+ - **Trend [Mpps]** : last value of trend.
+ - **Short-Term Change [%]** : Relative change of last trend value vs. last week trend value.
+ - **Long-Term Change [%]** : Relative change of last trend value vs. maximum of trend values over the last quarter except last week.
+ - **Regressions [#]** : Number of regressions detected.
+ - **Progressions [#]** : Number of progressions detected.
+ - **Outliers [#]** : Number of outliers detected.
+
+All trend and anomaly calculations are defined in :ref:`trending_methodology`.
+
+Tested VPP worker-thread-core combinations (1t1c, 2t2c, 4t4c) are listed
+in separate tables in section 1.x. Followed by trending methodology in
+section 2. and daily trending graphs in sections 3.x. Daily trending
+data used is provided in sections 4.x.