Genetic Algorithm Based on Test Suite Prioritization for Software Testing in Neural Network

The paper addresses research in the area of software testing, which has a critical part of performing in software quality assurance. It becomes very inefficient for a tester to re-execute massive number of test cases again and again for small variations. The proposed artificial neural network with the genetic algorithm-based case suite prioritization (ANNGCSP) achieves better performance compared. New proposed algorithm combined the rational functional tester (RFT) tool, and new proposed algorithm combined open source tool in terms of APFD metric.