In the world of automated testing, even the best scripts can produce inconsistent results. A test might pass during one run and fail during the next - without any changes in the code. These "flaky tests" create confusion, slow down development, and often divert valuable resources toward troubleshooting non-issues.
To address this challenge, Visus implemented a strategic enhancement to the test automation workflow by integrating the pytest-rerunfailures library. This solution enables automated retries of failed tests before they are officially marked as failed. Rather than triggering false alarms on the first hiccup, each test receives a defined number of re-executions to validate its result.
This seemingly simple addition delivered significant improvements. Developers now spend less time chasing phantom failures and more time addressing real issues. The retry mechanism filters out transient failures caused by timing issues, environment inconsistencies, or external dependencies—problems that often resolve themselves on a second or third attempt.
Beyond reducing noise in the QA pipeline, the new process also provides deeper insight into test reliability. Teams can analyze rerun patterns to identify and prioritize flaky tests for permanent resolution. This leads to a cleaner, more dependable test suite and ultimately, a stronger product.
By refining the automated testing process with targeted retries, Visus strengthened its commitment to delivering quality solutions efficiently—minimizing distractions and maximizing developer focus where it matters most.