Where there is development there is testing. The entire software development lifecycle be it design, coding, implementation, and testing, all have evolved with cloud computing taking the front-seat in infrastructure planning & designing. has made a significant contribution towards improvising the deployment lifecycle for better development.
With all these improvements, the metrics used by testers also changed and organizations have been turning towards adapting to DevOps. QA teams have to rapidly adopt new metrics and practices to ensure that they can turn over their cycle in time and keep up with the pace of deployment.
One of the metrics that play a vital role in SDLC is the defect escape rate, these errors can be the user experience issues, performance issues, or simple application errors. A standard policy while deploying applications using DevOps practices is automation. Automation at every level that is necessary ensures a smoother deployment cycle. Products like Terraform Infrastructure As Code (IAC) or the Elastic Compute Service (ECS) have been designed to co-work with one another to maximize compatibility and increase the viability of the SDLC. One can evaluate the defect escape rate by monitoring the number of defects found in the pre-production phase and comparing it to the production phase. This constitutes the defect escape rate.
Maintaining software quality is something that every application developer wants to ensure. A balance is much required when it comes to releasing software and providing updates based on the number of issues or software upgrades that one wishes to provide. By tracking the defect escape rate, one can cross-check if the application is already released using the cloud monitor logs, which will ascertain the metrics about any performance issues.
To track the defect escape rate, one must track defects found during QA. Use container service to raise a new workable item for every defect that is found. Alibaba Cloud uses EDAS or the Enterprise Distributed Application Service that is based on the PAAS platform to monitor, diagnose, operate, and maintain the applications. It is a middleware that provides enormous options to maintain the SDLC.
It is advised to keep a ratio that is not less than 85% to 90% defect-free release and sort defects in terms of major and minor defects. By making sure software is mostly defect-free, which will ensure a viable and error-free release.
Steps to Effectively Improve Defect Escape Rate!
- Error-Free Code Release –The better and more sorted code is, the better the chances are to improve defect escape rate.
- Automate Testing– Automate and document testing strategy.
- Deployment Cycle Monitor– Keeping a close check on errors at every stage and document to make the whole process transparent.
- Monitor Performance– Monitoring application by using Cloud Monitor and server load balancer logs to know when and how the application behaves as the traffic changes can help fill massive gaps in performance. This will also increase the productivity of the business application and organizational goals.
Read more about how SDLC is evolving for cloud-based deployment with built-in tools for an effective Defect Escape plan click here>>>
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