To make the planning benchmark tool more robust, I’d like to improve the following aspects:
Use a Git Repository as the Data Storage
By using a Git repository for storing the benchmark output and log files, we don’t need any further backup plan.
Additionally, this makes it easy to trace issues, as this brings versioning automatically.
Also, the benchmark status can be tracked by looking at the commit history.
Write an Analysis Tool
With a simple Python script, it should be easy to generate YAML files with the interesting information out of the benchmark output.
Render the Analysis Data on a Web Page
The resulting YAML files would then be processed into an HTML view, which could be easily viewed online.
To make the planning benchmark tool more robust, I’d like to improve the following aspects:
### Use a Git Repository as the Data Storage
By using a Git repository for storing the benchmark output and log files, we don’t need any further backup plan.
Additionally, this makes it easy to trace issues, as this brings versioning automatically.
Also, the benchmark status can be tracked by looking at the commit history.
### Write an Analysis Tool
With a simple Python script, it should be easy to generate YAML files with the interesting information out of the benchmark output.
### Render the Analysis Data on a Web Page
The resulting YAML files would then be processed into an HTML view, which could be easily viewed online.
patrick
added this to the Extended Paper for TPLP Journal milestone 2017-11-15 17:23:44 +01:00
patrick
self-assigned this 2017-11-15 17:23:44 +01:00
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To make the planning benchmark tool more robust, I’d like to improve the following aspects:
Use a Git Repository as the Data Storage
By using a Git repository for storing the benchmark output and log files, we don’t need any further backup plan.
Additionally, this makes it easy to trace issues, as this brings versioning automatically.
Also, the benchmark status can be tracked by looking at the commit history.
Write an Analysis Tool
With a simple Python script, it should be easy to generate YAML files with the interesting information out of the benchmark output.
Render the Analysis Data on a Web Page
The resulting YAML files would then be processed into an HTML view, which could be easily viewed online.