You're dealing with frequent software updates. How do you guarantee thorough test coverage?
Frequent software updates can make test coverage a moving target. Here's how to maintain quality assurance:
- Implement automated testing where possible to quickly rerun tests for each new release.
- Use risk-based prioritization to focus on critical areas that are most likely to be affected by changes.
- Regularly review and update test cases to align with new features and bug fixes, ensuring relevance.
How do you ensure your testing keeps pace with rapid software updates? Looking forward to your insights.
You're dealing with frequent software updates. How do you guarantee thorough test coverage?
Frequent software updates can make test coverage a moving target. Here's how to maintain quality assurance:
- Implement automated testing where possible to quickly rerun tests for each new release.
- Use risk-based prioritization to focus on critical areas that are most likely to be affected by changes.
- Regularly review and update test cases to align with new features and bug fixes, ensuring relevance.
How do you ensure your testing keeps pace with rapid software updates? Looking forward to your insights.
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To handle frequent software updates and still have good test coverage, Focus on writing a lot of unit tests and integration tests that cover all the key functionality and possible edge cases. These tests are made part of the developer’s build process, so they run automatically every time someone makes changes to the code. This helps catch problems early and keeps the software reliable, even with constant updates.
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Frequent updates demand a smart, adaptable testing strategy. Begin by focusing on high-risk areas, prioritizing critical functionalities over exhaustive testing. Automate repetitive tasks to save time for exploratory testing. Regularly update test cases to reflect new features and eliminate outdated ones. Integrate tests into CI/CD pipelines to catch issues early and streamline releases. Collaboration is key—work closely with developers to align expectations and implement approaches like ATDD or BDD. Make quality a shared responsibility. When testing evolves with your updates, you ensure improvements are steady, not setbacks.
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We ensure test coverage during frequent updates by leveraging AI-driven test impact analysis to pinpoint affected areas, combined with real-time collaboration between QA, DevOps, and development teams. This allows us to adapt dynamically, focusing on high-risk areas without slowing down delivery.
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Automate the P0, P1 parts that have high chances of breaking. Ensure sufficient test coverage. Prioritize testing based on risk to ensure critical features are covered first. Run regression after each updated build using CI/CD pipeline.
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One of the biggest challenges in software testing is the oracle problem - how to identify what needs human attention. To deal with the problem in the context of a large system, it might be a good idea to implement the following two things: 1) ability to submit a very diverse set of transactions into the systems, 2) ability to efficiently compare the output of these transactions against two different versions (effectively using the previous version as the model of the new one). This method helps to highlight things that changed and need additional review. We use an overfit ML model to do it at scale. The method does not guarantee thorough test coverage, but it gives a solid baseline that allows to better focus our software testing efforts
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