Venkat Gajulapalli
Sr. Quality Engineering Manager, Intuit
Passionate Quality Engineer with expert knowledge around Tools, Automation and Continuous Integration
Silicon Valley Code Camp : October 11th and 12th 2014Session
Quality Dashboard - One stop shop to determine product quality
Think about having all the quality metrics at one place; Automatically generate your release reports and determine the health of your current release. Build the intelligence to report the status based on various rules.
About This Session
To asses the quality of your product or a release, you need to look at various metrics.
- Total Defects in the system; creation vs closing rate
- Code Coverage Statistics
- Test case pass rate
- State of the CI (Continuous Integration) build
- Nightly deployment build status
These metrics are in different sources.
Defect data from Jira (or similar defect management system).
Build data from Jenkins (or similar CI system).
Think about having all the above metrics at one place;
Automatically generate your release reports and determine the health of your current release.
Build the intelligence to report the status based on various rules.
(For eg..if the Code Coverage is < 85%, show the status as RED).
- Total Defects in the system; creation vs closing rate
- Code Coverage Statistics
- Test case pass rate
- State of the CI (Continuous Integration) build
- Nightly deployment build status
These metrics are in different sources.
Defect data from Jira (or similar defect management system).
Build data from Jenkins (or similar CI system).
Think about having all the above metrics at one place;
Automatically generate your release reports and determine the health of your current release.
Build the intelligence to report the status based on various rules.
(For eg..if the Code Coverage is < 85%, show the status as RED).
The Speaker(s)