Automated software testing has been an area of
concern for big software development companies.
Automated testing allows development and execution
of test cases unattended. Also, comparison of actual
test results to expected test results can be determined
easily. Automation of the manual testing process is
done to improves accuracy; increase test coverage,
save time and money and help developers and testers
to develop test cases quickly and efficiently. This
algorithm automates the test suite prioritization
process as per the bee colony optimization criteria.
By using this algorithm we can automatically
generate the test case and test the application in
efficient manner and with reduced cost and time.