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The actualization of software test by artificial intelligence (AI) introduces transformative capabilities that improve coverage, reduce human error, and enhance efficiency. This paper explores the implications of applying AI in the context of automated test case generation, focusing particularly on the use of generative models to create both positive and negative test scenarios. For the experimental evaluation, a mock server was developed to simulate a real-world API environment, ensuring controlled testing conditions while maintaining realistic API behavior. The AI-generated test cases demonstrated increased defect detection and coverage while significantly reducing test creation time. Various real-world inspired scenarios were explored in the paper, validating the benefits of AI-driven test actualization. The results suggest that AI-assisted automation offers substantial advantages for modern software testing, particularly within DevOps practices and continuous integration pipelines.

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Implications and Advantages of AI Test Actualization in API Automated Software Testing

  • 会议论文

  • 发表日期：

    2026年

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  • Anastasia Karacholeva,
  • Milen Petrov

摘要

The actualization of software test by artificial intelligence (AI) introduces transformative capabilities that improve coverage, reduce human error, and enhance efficiency. This paper explores the implications of applying AI in the context of automated test case generation, focusing particularly on the use of generative models to create both positive and negative test scenarios. For the experimental evaluation, a mock server was developed to simulate a real-world API environment, ensuring controlled testing conditions while maintaining realistic API behavior. The AI-generated test cases demonstrated increased defect detection and coverage while significantly reducing test creation time. Various real-world inspired scenarios were explored in the paper, validating the benefits of AI-driven test actualization. The results suggest that AI-assisted automation offers substantial advantages for modern software testing, particularly within DevOps practices and continuous integration pipelines.