一句话：提出用探索性智能体自动测试有状态软件系统以发现故障并积累知识。
有状态软件系统的充分测试是一项困难且昂贵的活动。由复杂有状态交互引发的故障可能影响重大，且此类故障往往难以复现。若能用自动化方式应对该问题，将节省成本与时间，并提升工业软件系统的质量。本文提出一种基于智能体的方法，让智能体探索软件系统，以发现故障并获取知识。摘要未给出具体实现细节与评估结果。
The adequate testing of stateful software systems is a hard and costly activity. Failures that result from complex stateful interactions can be of high impact, and it can be hard to replicate failures resulting from erroneous stateful interactions. Addressing this problem in an automatic way would save cost and time and increase the quality of software systems in the industry. In this paper, we propose an approach that uses agents to explore software systems with the intention to find faults and gain knowledge.