Que faites-vous si votre application logicielle est truffée de bogues ?

If software application is riddled with bugs, start by conducting a thorough analysis to identify and prioritize the most critical issues impacting functionality or user experience. Implement a systematic debugging process, including testing methodologies such as unit testing, integration testing, and user acceptance testing, to isolate and resolve bugs effectively. Additionally, establish robust version control practices to track changes and roll back updates if necessary, while also communicating transparently with users about known issues and planned fixes to manage expectations and maintain trust in the product.

If your software application is plagued by bugs, take the following steps: identify and prioritize the bugs, track them using bug tracking tools, debug the code thoroughly, fix bugs systematically, test fixes rigorously, automate testing and deployment with CI/CD pipelines, gather user feedback and monitor production for issues, document known bugs and resolutions, and continuously iterate to improve the software and minimize bugs over time.

I think with all honesty - You need to unplug the development on the project & take a step back and do the following : - Stop Development entirely - Review all documentation and make sure that it is up to date or exactly done as written. - Identify the components that are weak or vulnerable - Organzie a code refactor of the code based on the documentation being the source of truth - Make sure that no other development is being done other than the refactor - Conduct Pull Request strategy and make sure people review the code and there is a certain nb of approval that should be meet i normally go with (team size /2 )+1 - Conduct daily stands up to review the work and make sure everything is on track

"Done is better than perfect" Some of the software engineers try to be "perfect" with their work, which is actually impossible. The user stories delivered to software engineers focus on the expected and acceptable work. However some software engineers try to make the underlying details to be perfect which might result in over engineering. Some bugs are so far outliers that might not need to be focused on. "Acceptance criteria" is utmost important to understand for prioritization. For example if the expectation is 99.9% reliability, trying to deliver 99.999% reliability is an overkill, unnecessary, a waste time and resources.

Prioritizing bugs in a bug-riddled software application is crucial for efficient bug management and resolution. Not all bugs have the same impact or urgency, so prioritization allows for strategic allocation of resources and efforts. High-priority bugs that directly impact user experience or critical functionalities should be addressed first to prevent major disruptions and ensure user satisfaction. This approach streamlines bug resolution efforts, optimizes resource utilization, and delivers a more stable and reliable software product.

Prioritizing issues is critical for effective defect management. By classifying problems according to their severity and impact, teams can prioritize the resolution of critical issues, thereby improving the overall user experience. This methodology facilitates improved allocation of resources and aids teams in meeting deadlines without compromising product quality. Efficient prioritization of bugs ultimately results in increased levels of customer satisfaction and successful products.

The easiest way to prioritize is to construct a critical path of the user journey. Then start fixing the bugs that are on that path only.

Attempt to reproduce each bug in a controlled environment to understand its underlying cause and behavior. Reproducing a bug consistently, you gain a deeper understanding of its underlying cause and can develop an effective solution to fix it. Something that might help narrow down the problem is determine if there are any specific preconditions or environmental factors required to trigger the bug. This could include user actions, input data, system configurations, or external dependencies that need to be present for the bug to occur. Make sure to verify that the steps you've identified reliably trigger the same behavior each time to ensure reproduction process reliability.

Software testing can be time-consuming and challenging, however, it can ensure the reliability and availability of your system long term. Whenever a bug arises and it's fixed, write a unit/regression test to evaluate the fix and ensure it works over time. Code coverage and the number of tests will increase, ensuring stronger reliability of the system. Think of all the edge-case scenarios that your system could undergo. Write tests to evaluate the system will perform with those edge case inputs. For example with a text field that should take money inputs, try to test how it will perform if the input takes negative numbers, extremely large or small numbers, letters, and other inputs.