INTEGRATING NEURAL NETWORKS AND HEURISTIC METHODS IN TEST CASE PRIORITIZATION: A MACHINE LEARNING PERSPECTIVE

Authors

  • Koteswararao Dondapati Everest Technologies, Ohio, USA Author

Abstract

This research investigates the use of neural networks and heuristic methods in Test Case Prioritization
(TCP) to improve regression testing. Traditional TCP techniques frequently underperform in large software
systems, demanding novel approaches to improve fault detection and resource use.

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Published

2020-08-16

Issue

Vol. 10 No. 3 (2020): July-September

Section

Articles

How to Cite

INTEGRATING NEURAL NETWORKS AND HEURISTIC METHODS IN TEST CASE PRIORITIZATION: A MACHINE LEARNING PERSPECTIVE. (2020). International Journal of Engineering and Science Research, 10(3), 49-61. https://ijesr.org/index.php/ijesr/article/view/1193