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  • Adapting a Zero Bug Policy to Solve Bugs

    Applying a zero bug policy made it easier to prioritize bugs and increased team visibility and responsiveness towards bugs. As it’s a radical change, you will need to adapt it to your context regarding decision-making and time to fix a bug.

  • Using Machine Learning in Testing and Maintenance

    With machine learning, we can reduce maintenance efforts and improve the quality of products. It can be used in various stages of the software testing life-cycle, including bug management, which is an important part of the chain. We can analyze large amounts of data for classifying, triaging, and prioritizing bugs in a more efficient way by means of machine learning algorithms.

  • Applying a Zero-Bug Policy at Redgate

    A zero-bug policy is a simple yet effective bug management system that can help you avoid being buried deep in months or sometimes even years-old bugs. Any bugs you agree are serious enough for you to fix, you fix right away, and any other bug will not be fixed and closed. Tom Walsh spoke about how Redgate Software applied the zero-bug policy at Lean Agile Exchange 2020.

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