Error guessing is an ad hoc approach, based on intuition and experience, to identify tests that are considered likely to expose errors. The basic idea is to make a list of possible errors or error-prone situations and then develop tests based on the list. What are the most common error-prone situations we have seen before? Defects’ histories are useful. There is a high probability that defects that have been there in the past are the kind that are going to be there in the future. Some items to try are: · empty or null lists/strings · zero instances/occurrences · blanks or null characters in strings · negative numbers One of the studies done by Myers (1979) states that the probability of errors remaining in the program is proportional to the number of errors that have been found so far. This alone provides a rich source of focus for productive error guessing.
Installation testing is done to verify whether the hardware and software are installed and configured properly. This will ensure that all the system components were used during the testing process. This Installation testing will look out the testing for a high volume data, error messages as well as security testing
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