Automation of End-to-End Test Processes Using LLM in CI/CD Pipeline

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  • CI/CDにおける大規模言語モデルを活用したE2Eテストプロセスの自動化
  • 対話型システムのE2EテストへのAI駆動型自動化適用事例
  • LLM-Driven Automation for End-to-End Testing in Conversational Systems: A Case Study

Description

<p>This study aims to address the challenges of automating end-to-end (E2E) tests based on user scenarios in CI/CD pipeline. To achieve this, we propose a system architecture that leverages large language models (LLMs) to fully automate the testing process—from unit tests (UT) to E2E tests. Our approach extracts test design details from test specifications using LLMs, enabling the automatic generation of both test code and reports. Integrating this system into the CI/CD pipeline significantly reduces test preparation and execution times while ensuring rigorous quality assurance. Experiments on an in-house product confirm that the proposed method enhances test generation accuracy and reduces operational costs compared to conventional practices. These results indicate that our approach offers a promising solution for comprehensive test automation in agile development environments.</p>

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