How to Reduce False Positives in Software Testing

July 24, 2018

False positives are test cases that fail when the software is actually functioning properly. Basically, false positives are false alarms. False negatives, on the other hand, are test cases that pass when they should have uncovered a defect. In that scenario, you should have received a warning, but did not. False positives and false negatives both erode trust in your test results. A false negative is more damaging than a false positive because it creates a false sense of security and could jeopardize customer retention.

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Ansys

When visionary companies need to know how their world-changing ideas will perform, they close the gap between design and reality with Ansys simulation. For more than 50 years, Ansys software has enabled innovators across industries to push boundaries by using the predictive power of simulation. From sustainable transportation to advanced semiconductors, from satellite systems to life-saving medical devices, the next great leaps in human advancement will be powered by Ansys.

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Spotlight

Ansys

When visionary companies need to know how their world-changing ideas will perform, they close the gap between design and reality with Ansys simulation. For more than 50 years, Ansys software has enabled innovators across industries to push boundaries by using the predictive power of simulation. From sustainable transportation to advanced semiconductors, from satellite systems to life-saving medical devices, the next great leaps in human advancement will be powered by Ansys.

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