In proposed system a new algorithm called Bee
Colony Optimization algorithm (BCO) the Bee
Colony Optimization (BCO) algorithm for the fault
coverage regression test suite prioritization has been
presented. In the natural bee colony, there are of two
types of worker bees; Scout bees and forager bee,
who are responsible for the development and
maintenance of the colony. The BCO algorithm
developed for the fault coverage regression test suite
is based on the behavior of these two bees. The BCO
algorithm has been formulated for fault coverage to
attain maximum fault coverage in minimal units of
execution time of each test case, using two examples
whose results are comparable to optimal solution. By
using this algorithm testing the applications very
efficiently and reducing the cost[2][3].