![]() ![]() This should be coupled with CPU/memory and network monitoring of all systems. Internal system health check monitoring: Since enterprise applications rely on internal systems for services and feeds, all those upstream systems should be monitored in real time, using a heartbeat monitoring mechanism. The reports generated would provide crucial insights into user behavior and usage of the components. Īnalytics-driven insight gathering: Web analytics tagging should be incorporated in critical success paths and for components in the application.Īn automatic alert and notification infrastructure should alert the site administrators if the application SLA falls below the configured threshold.Proactive user feedback solicitation : In some scenarios, it is worthwhile to conduct user survey and opinion polls to solicit feedback from the end customers, in order to understand the usability of the site and the overall satisfaction index. The SLAs usually monitored include perceived page performance, average page response time, component load time, and application availability. Ĭontinuous real-time SLA monitoring: The critical SLAs of enterprise applications should be monitored continuously post “go-live.” For a global application, a multi-geo robots-based monitoring method is needed to get the real performance numbers across geographies.This helps in providing an early fix to reduce the overall impact of the issue: Proactive defect detection mostly happens postproduction. Perform continuous security assessments including risk analysis, early security testing, and continuous threat assessment. Test the NFR requirements such as performance and scalability test cases early in the game. Perform requirement validation: Build a requirement traceability matric to ensure that functionality is completely and correctly built as per provided specifications. Profile the integrated application to identify memory leak or performance issues. Automate and add all important test cases with a continuous build process. This iterative strategy allows the testing team to test the interface-related test cases early and catch performance-related issues. Integration phase: Build and integrate continuously. This efficiency has positive impacts on the end-user experience. This includes features such as on-demand data loading, client-side aggregation, quicker process alternatives, and improvised perceived page performance. Proactive process efficiency validation : To have a positive impact on usability and the user experience, we need to incorporate features that perform the user task efficiently. Īdd automatic regression testing as part of the build process and monitor the build issues through the project dashboard.Initiate a “requirement champion” program, which encourages the development team and QA team to have a thorough and complete understanding of the overall applicationġ0% of defects are caused by build errors and regression issuesĪutomate the build and deployment process Track the requirements to its implementation and test cases using “requirements traceability matrix” Make requirements management process more robust by adding various view of requirements such as use cases, flow diagrams, process diagrams, and business rules Review in more detail the classes for which the defect rate is high, and look for potential issuesĢ0% of defects are due to “improper requirements understanding” Profile the login module component to understand the memory, CPU utilization, and other runtime behavior in different load conditions. Įnsure that test coverage for the login module is 90% to ensure that all functionality is covered.Re-review the design of the login module and check for parameters such as “separation of concerns,” “coupling,” and “reusability” ĭefect modeling and prediction: Use the historical data of defects from previous releases to gain insights into: –Ī component that has a high percentage of defects –Ĩ% of defects in past three releases are related to the login module.Ensure good code coverage from automated and manual testing. Incorporate tool-based static code analysis and automate the code review process to detect code-related issues early. Code should be testable and it should undergo a thorough review process including peer review. Use the coding checklist, such as a JS/widget development checklist, to ensure that code complies with optimal coding standards. ĭevelopment phase: At this stage, we get the opportunity to prevent the defects at their source.The list of defect prevention measures is given below: It also includes analyzing the historical defect trends and designing an effective prevention strategy to avoid recurrence. Proactive defect prevention includes various measures to incorporate the defect prevention practices into the project lifecycle. ![]()
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