A Hybrid Firefly-Water Wave Algorithm for Effort Estimation of Software Testing

Test effort estimation of software testing is the complex task. There are multiple factors affect the test effort estimation of software testing. The test effort can be calculated on the basis of effort cost and time required for testing. Multiple studies have been done for developing test effort estimation models but the most of these models provide inaccurate result after some time. . The multiple optimization techniques are used to optimize test effort estimation. The test effort estimation is optimizing multiple model, method and techniques of the test effort estimation. In this paper, we proposed a hybrid algorithm to improve the accuracy. The hybrid algorithm is the combination of firefly and water wave algorithm. The hybrid algorithm is applied on the test effort estimation techniques and the parameters are tuned for optimal performance in terms of minimum error in effort estimation. The results are found to be quite satisfactory both in terms of convergence and accuracy. Thus, it justifies our use of hybrid approach for test effort estimation.