ATARI: Autonomous Testing and Real-Time Intelligence - A Framework for Autonomously Testing Modern Applications

摘要

The emergence of modern web frameworks, microservices, and cloud architectures requires testers to generate and maintain test cases, scripts, and data in short agile sprints, sometimes in as little as a few hours. It is impossible to produce these assets in a comprehensive manner using legacy DevOps approaches that largely depend on the subjective judgement of test engineers. In this paper, we demonstrate the implementation of ATARI, an autonomous testing framework that uses a combination of search algorithms, page-rank heuristics, and reinforcement learning techniques to radically improve the completeness and velocity of testing to meet the needs of modern software engineering practices.