You use Azure DevOps processes to build and deploy code.
You need to compare how much time is spent troubleshooting issues found during development and how much time is spent troubleshooting issues found in released code.
its A -- The defect escape rate is a metric that assesses the collective quality of software releases by evaluating how often errors are discovered and rectified in the pre-production process versus during production.
The answer is A, "defect escape rate." This KPI measures the effectiveness of finding and fixing issues before they make it into the production environment, which is the goal of the CI/CD pipeline. It compares the number of issues found in pre-production (during development and testing) to the number of issues found in production. This KPI helps identify the effectiveness of the testing and quality assurance processes in catching issues early on, which reduces the amount of time spent troubleshooting issues in the production environment.
On the other hand, D, "rework rate," measures the amount of additional work required to redo processes or activities that were incorrectly implemented in the first instance or due to changes in requirements from clients. While rework rate is a useful KPI to measure the efficiency of the development process, it does not provide insight into the effectiveness of the testing and quality assurance processes in catching issues before they make it to production.
Measures the percentage of defects that evade detection during development and testing phases, eventually surfacing in production.
Directly compares pre-production issue identification to post-release issues.
A lower defect escape rate indicates more effective testing processes, leading to less troubleshooting in production due to fewer escaped defects.
Defect escape rate, measure about number of defects discovered in production or release divide by number defects found during development or test process
Rework in software development is the additional effort of redoing a process or activity that was incorrectly implemented in the first instance or due to changes in requirements from clients. It usually results from errors, omissions, failures, changes, poor communications and poor coordination.
A seems correct.
https://patterns.arcitura.com/devops-metrics-mechanisms-tools/metrics/defect-escape-rate#:~:text=The%20defect%20escape%20rate%20metric,automated%20testing%20tools%20being%20used.
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