What does TER mean in SOFTWARE

What it means

In computing, TER measures how effective a test was by taking into account the ratio between all errors found after deployment and those not detected before deployment. The ratio shows how many errors were prevented from being released into production, and it considers both false positives (errors that weren’t actually present) and false negatives (issues missed). The higher this ratio, the better the test coverage was, and therefore more efficient tests were implemented. Lower ratios suggest that there were some undetected errors which would have gone under-the-radar had they not been caught prior to release.

Advantages & Disadvantages

The advantage of TER is that it provides vital feedback on how effective a testing phase has been in terms of catching faults before releasing an application into production. Additionally, code review processes can be compared between teams or projects with different levels of complexity by using TER as an indicator for efficiency. The drawbacks are that it is difficult to achieve perfect results due to multiple external factors such as deadlines and limited resources - gaining trust in calculations usually takes time while being exposed to many conditions making it difficult to reach zero-defects status regardless of any attempt at optimization through methods like code review or others processes aiming at quality assurance..