appsurify.com
6. Failure Analysis
If your team suffers from QA and developer pain points, such as excessive Developer Rework, Flaky Tests, Developer wait-time, frequent Context Switching, limited Parallel Testing, and high Infrastructure costs… you’ve come to the right place. … ### 2. Flaky Tests: Flaky tests are automated test failures that break for no apparent reason or change to the code. This frequently occurs due to several different reasons, such as a browser crashing, a device loses connectivity, updates, etc. Many QA Teams waste considerable time re-testing failed scripts or Flaky Failures. When a team is dealing with a large automation test suite, 15%+ of the tests could fail for no real reason. Many teams have policy that requires all automated tests to be passed in order for the build to be released. This leaves QA teams combing through pointless tests for hours which only hurts output and productivity. It’s no surprise that Flaky Tests are frequently the culprit for delayed releases! … ### 3. Developer Downtime: Developer downtime occurs when developers are left waiting for test results from QA. When a developer submits a change to the application via a new commit, he can be left waiting 10 minutes or 10 hours for test results depending on the size and length of the automated tests. This is a major pain point for developers, QA, and software development teams because it holds up productivity and creates a bottleneck of information from testing. Developers can’t continue working on the same task until they get results back, or else they risk making mistakes that they will later have to correct – AKA Rework.
Related Pain Points2件
Flaky Tests Causing Build Delays
8Automated tests fail unpredictably due to environmental issues (browser crashes, connectivity loss, updates) unrelated to code changes. Teams report 15%+ failure rates in large test suites, forcing QA to spend hours re-testing valid code and blocking releases.
Developer Downtime Waiting for Test Results
7Developers are blocked waiting for QA test results after committing code, facing waits from 10 minutes to 10+ hours depending on test suite size. This creates productivity bottlenecks and forces developers to context-switch or risk introducing rework.