On average 72% of automated test case failures are false positives—test cases that fail when the software is actually functioning properly. Thanks to false positives, testers spend an average of 17% of their time analyzing results that don’t actually require any analysis at all.
As teams adopt Continuous Delivery and Continuous Testing to deliver more software faster, the pain of false positives will only get worse—unless you address the problem at its source.
Read this paper to learn:
- How false positives impact the entire team (and beyond)
- The most common factors contributing to false positives
- Targeted strategies for eliminating each type of false positive
- Research findings on the impact of false positives