Charts by Example

Here are a variety of basic charts you can generate with Simscope Metric Charts, showing both an example chart and the configuration used to render it.

Chart Configuration overview

Weekly Pass Rate, by Job Category

Note: this is the simplest chart configuration, to see how charts work.

This is a 52-week Line Chart of average Pass Rate among all jobs, grouped by Job Category:

• compile — blue
• gen (ie generate) — green
• sim (ie simulate) — orange

Chart Configuration:

Daily Pass Rate, by Component

This is a 30-day line chart showing average Pass Rate for 3 components:

Chart Configuration:

Weekly Cycles, by Component

This uses a Stacked Bar chart, which enables seeing total weekly cycles as well as individual component weekly cycles.

• Each component's cycles are a different color

Chart Configuration:

Weekly Compute Time Percentage, by Component

This uses a Percent Area chart, which enables seeing visually which components are using the highest and lowest percentage of total compute time, across each week.

• Percent Area charts scale the Y values to 100%, so you can view percentages easily.

Chart Configuration:

CPS (cycles per second), by Regression

This is a Line Chart showing CPS for a group of regressions.

• You can click on any point in the line, to drilldown to regression details at that point.

Chart Configuration:

Regression CPS (cycles per second), by Build

Within a series of Regressions, you can group by their build configuration.

For example, this charts CPS grouped by:

• 1-core (blue)
• 2-core (green)
• 4-core (orange)

Chart Configuration:

Running Total Weekly Cycles, by Component

This uses an Area Running Total chart, which enables seeing cumulative weekly cycles across each component for the past 52 weeks (year).

This is also called a summation chart, or a cumulative chart.

• Each component's cycles are a different color
• You can also see the total cycles for the year, across all components, was 550 billion

Chart Configuration:

Pie chart, by Signature Classification

Pie charts are useful at showing ratios or comparisons of data.

This example shows the percentage of failures for the past 30 days, grouped by Signature Classification.

Chart Configuration:

Regression Coverage Chart

If you are storing coverage values inside of Regression Metadata, you can create coverage charts with Simscope.

This example plots the metadata func_coverage and line_coverage, for a 100-day period.

Chart Configuration:

Daily Regression Pass Rate Heatmap

Heatmap Charts are useful when visualizing many series simultaneously.

• As opposed to line charts, which can become cluttered if there are more then 3 or 4 series in a single chart.

This is a 30-day Heatmap Chart of Pass Rate, grouped by regression name.

• Note that when charting Pass Rate, the Heatmap chart will colorize the values (ie green, yellow, red) to make it easy to see patterns visually.

Chart Configuration:

Daily Pass Rate by Build (Heatmap)

This is a 10-day Heatmap Chart of Pass Rate, grouped by Build.

• This lets you easily visualize the daily health of each build.

Chart Configuration:

Triage Rates

Simscope can chart Triage and Assignment rates (useful in line and heatmap/datatable charts).

For example, this chart shows a 14 day chart of the percentage of daily errors being triaged, grouped by Component.

Chart Configuration:

Advanced: Regression Coverage Heatmap

If you are storing coverage values inside of Regression Metadata, you can create coverage charts with Simscope.

This example plots func coverage for all weekly regressions, across multiple components, for a 30-day period:

• X-axis is grouped by model version (ie SHA).
  • For example, you can see multiple regression coverage results for checkin b2ffd (see the red arrow)

Chart Configuration:

Advanced: Regression Coverage by Model

If you are storing coverage values inside of Regression Metadata, you can create coverage charts with Simscope.

This example plots coverage values for a specific model version (ie checkin):

• Model Version (SHA) b2ffd
• Notice you can see both func_coverage and line_coverage for all regressions in one chart

Chart Configuration: