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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
formation of bond etc
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Problem: A company requires a software application to calculate the weekly payment for its employees. The information about the employees (employees' data) is kept in a file.
The process which is underlined throughout the check of base data is called as candidate check. When performing candidate check performance varies either towards the positive side
explain michesons inferometer
Greedy Search - artificial intelligence: If we have a heuristic function for states, defined as above, so we can simply measure each state with respect to this measure and ord
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