The future of software testing automation: Innovations, challenges, and emerging alternatives
Shah, Vaidehi Yadav, Pranay
Shah, Vaidehi
Yadav, Pranay
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Original Date
Digitization Date
Issue Date
2025-07-15
Type
Conference paper
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Keywords
Artificial intelligence,High implementation costs,DevOps pipelines,Software Testing Automation
Subjects (LCSH)
Citation
V. Shah and P. Yadav, "The Future of Software Testing Automation: Innovations, Challenges, and Emerging Alternatives," 2025 3rd International Conference on Inventive Computing and Informatics (ICICI), Bangalore, India, 2025, pp. 1588-1593, doi: 10.1109/ICICI65870.2025.11069964.
Abstract
Software testing automation is seeing fast evolution, propelled by innovative developments in artificial intelligence (AI), machine learning (ML), and cloud computing technologies. These advances are transforming the software development environment, providing new opportunities to improve the effectiveness, precision, and adaptability of testing operation. This study investigates the future of software testing automation by analyzing the key advancements that are set to transform testing methodologies in the next years. Prominent advancements include AI-driven test generation methods that utilize machine learning algorithms to automatically produce test cases based on application behavior, as well as self-healing test scripts capable of autonomously identifying and adjusting to alterations in the application interface, thereby substantially minimizing maintenance burdens. Important developments include AI-driven test generation methods that utilize machine learning algorithms to automatically produce test cases based on application behavior, as well as self-healing test scripts that can independently identify and adjust to modifications in the application interface, thereby substantially decreasing maintenance burdens. The incorporation of continuous testing into DevOps pipelines is enhancing the agility and reliability of software delivery, enabling real-time feedback and expedited release cycles. Automation has many benefits, but implementing it is difficult. Maintaining automated test scripts may be complicated and resource-intensive, particularly for rapidly evolving codebases. Due to these constraints, low-code and no-code testing frameworks are becoming popular, democratizing automation by enabling testers without coding skills to build and execute automated tests. Combining these strategies with traditional automated techniques is improving software testing by offering a more complete and effective assessment framework. In research work focus on recent development in the area software testing also compare the different method which is involved in automated software testing. © 2025 IEEE.
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Publisher
Institute of Electrical and Electronics Engineers Inc.
Journal
Book Title
Series
Proceedings of the 2025 3rd International Conference on Inventive Computing and Informatics, ICICI 2025. 4 June 2025 through 6 June 2025 Bangalore. 210442