Quantum Computing in Test Automation: Optimizing Parallel Execution with Quantum Annealing in D-Wave Systems

Akhil Reddy Bairi (), Kathiravan Thangavelu () and Arun Ayilliath Keezhadath ()

Journal of Artificial Intelligence General science (JAIGS) ISSN:3006-4023, 2024, vol. 5, issue 1, 536-545

Abstract: Test automation plays a crucial role in modern software development, ensuring faster releases and higher software quality. However, optimizing parallel test execution remains a challenge due to resource constraints and scheduling inefficiencies. This research explores the potential of quantum computing, specifically quantum annealing using D-Wave systems, to enhance test execution efficiency. By formulating test suite scheduling as a combinatorial optimization problem, we leverage quantum annealing to achieve optimal test distribution across available resources. Our proposed approach significantly reduces execution time and improves resource utilization compared to classical optimization techniques. Experimental results demonstrate the effectiveness of quantum-enhanced scheduling, highlighting the potential of quantum computing in revolutionizing test automation.

Keywords: Quantum computing; test automation; quantum annealing; D-Wave systems; parallel test execution; test scheduling optimization (search for similar items in EconPapers)
Date: 2024
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