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When should you stop testing?
It is quite complex to determine as many modern software applications are so complex and run in like an interdependent environment that complete testing is never possible.
Though, common factors which help in deciding when to stop are:
- Deadlines to release or test are over.
- Test cases are done with certain percentage passed
-Test budget is over
- Coverage of code/functionality/requirements has reached a specified point
- Bug rate is below an assured level
- Beta or alpha testing period has ended
In the data parallel model, many of the parallel work focus on performing operations on a data set. The data set is usually organized into a common structure, such as an array or a
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