Ensemble approach of GP, ACOT, PSO, and SNN for predicting software reliability
by D. Shanthi; Narla Swapna; Ajmeera Kiran; Shaga Anoosha
International Journal of Engineering Systems Modelling and Simulation (IJESMS), Vol. 15, No. 2, 2024

Abstract: In recent decades, software has grown in importance. More and more computing systems are being intefted into modern society, increasing the necessity for rigorous software development methodologies. Software crises are issues that create delays, increased expenses, or failure to meet user needs. This difficult endeavour can be made easier by enhancing the software development process. We proposed GP, ACOT, PSO, SNN, and a mixture of GP, ACOT, PSO, and SNN to predict software reliability. Our results were compared to existing machine learning algorithms like neural networks and decision trees. We collected three software failure datasets using RMSE and NRMSE to support the need.

Online publication date: Fri, 01-Mar-2024

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