A Hybrid Salp Swarm Algorithm with Artificial Neural Network Model for Predicting the Team Size Required for Software Testing Phase
Sofian Kassaymeh, Salwani Abdullah, Mohammed Alweshah, Abdelaziz I. Hammouri · 2021
The software project director has to keep estimating the required resources and planning the schedule for deliverables. Unfortunately, such estimation and planning are not accurate unless careful monitoring and control plan is maintained because software development is risky. In this paper, an investigation was carried out by integrating a promising metaheuristic algorithm with an artificial neural network to optimize the network parameters to address predicting the size of a software test team. The target of this integration was to enhance the accuracy of network prediction. The proposed method has been evaluated on two datasets. These datasets have different characteristics and have been extracted from the industry repository. The comparative results proved the superiority of the proposed method over the other methods.