TEST CASE PRIORITIZATION USING SWARM INTELLIGENCE ALGORITHM TO IMPROVE FAULT COVERAGE AND TIME FOR WEB APPLICATIONS
Budget: ₹600 – ₹1,500 INR
Objective of this project is:
To implement Artificial Bee Colony (ABC) and Ant Colony Optimization (ACO) in test case prioritization for e-commerce and e-learning web applications.
To compare the effectiveness of ABC and ACO algorithm to improve the fault coverage and time execution for web application
To implement Artificial Bee Colony (ABC) and Ant Colony Optimization (ACO) in test case prioritization for e-commerce and e-learning web applications.
To compare the effectiveness of ABC and ACO algorithm to improve the fault coverage and time execution for web application