The saying goes...hardware eventually breaks and software eventually works. If you're doing any type of custom development or new integration, you're going to run into challenges that need to be resolved. Build resolution time into the schedule and, if the technology is not your own core competency, hire a partner that's done it before. I've lived in a house for a while now. I kinda know what goes into it. I'm sure I could convince myself that I could save money by building one myself. In the end, it's much wiser to hire someone to do it for me, because it's not my core competency and I'd like it done quickly and correctly...not just cheaply. Getting help might cost a little more in the beginning but the value is immeasurable.

Beyond issue resolution, an effective bug tracking system serves as a valuable source of data for continuous improvement. By analyzing recurring patterns in reported bugs, businesses can identify underlying system vulnerabilities or inefficiencies, leading to proactive improvements. This data-driven approach also helps optimize resource allocation, as teams can focus on high-impact areas. Maintaining historical bug data supports long-term planning and risk mitigation, providing insights into system performance over time and enabling more accurate forecasting for future development cycles and releases.

*Prioritize bugs by severity and address critical issues immediately. *Implement automated testing in the CI/CD pipeline to catch bugs early. *Foster a culture of responsibility for raising concerns. *Collaborate across teams for quick bug identification and resolution. *Provide post-release maintenance and support. Ensure flexibility in architecture for changing requirements. *Design for integration with third-party systems.

To start: test engineers call these defects not bugs. With semi-automated to fully automated test cases and test scripts using established business use cases is the best way to maintain code quality i.e. unit, FQT, UAT if scenarios can be supported, stage acceptance testing (SAT) paralleling to the actual prod implementation prior to deployment. However, in projects ensuring requirements business, technical, and functional are fully captured in an requirements traceability matrix (RTM) to facilitate the design of both agile based user stories and related testable (acceptance criteria). Secondly, old school risk analysis related to the requirements to ensure all risk is understood and mitigated in the user story related design meetings.

1. Check for previously identified defects both customer reported and reported during in-house testing 2. Check the top functionality of the software eg : Software Scan is this working fine and also check if the activity logging is saving right information 3. If you find any bugs check if that can be fixed before release.

DevOps process flow in SaaS Entreprise Software. Current trends in Enterprise Software delivered in a SaaS (Software as a Service) model involves a structured product release cycle from OEM, often a major release per year and organized into waves. If exist customizations, adaptations and specific development these must be tested in each release cycle iteration. This process is absolutely recommended to be supported by CI/CD (Continous Integration/ Continous Deployment) tools. Some widely used CI/CD tools in enterprise are Jenkins, GitLab CI/CD, CircleCI, Azure DevOps.

Thorough planning upfront is essential to ensure smooth project delivery, especially when dealing with software bugs. Start by creating a detailed plan that includes a robust bug tracking system and prioritization process. As the project progresses, regularly assess and track the status of bug fixes using a checklist to ensure nothing is overlooked. This continuous evaluation will help in identifying potential risks early on and allow for timely adjustments, ultimately ensuring a more efficient and streamlined development process.