Answer Posted / sailaja

Test effectiveness can be measured using defect removal
efficiency metric.

Once you come with metric defect density rate i.e., how
many anomalies/errors can be accepted within a piece of
code then you can compare planned vs. actuals. The
difference between these two reveals the test effectiveness
metric.

To my knowledge you need to have scientific method to
calculate the number of lines per application and number of
defects under acceptable limit.

Write the test cases for yahoo home page

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Write down ten test cases for below scenario: Increase the day by 1 and date format should be mm/dd/yyyy Conditions are : date should not be greater then 31 and date<1 month should not be greater then 12 and month<1 year should not be greater then 10000 and year<1 Thanks in advance

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