In order to better facilitate the need for continuous business process improvement, the application of DevOps principles has been proposed. In particular, the AB-BPM methodology applies AB testing and reinforcement learning to increase the speed and quality of improvement efforts. In this paper, we provide an industry perspective on this approach, assessing requirements, risks, opportunities, and more aspects of the AB-BPM methodology and supporting tools. Our qualitative analysis combines grounded theory with a Delphi study, including semi-structured interviews and multiple follow-up surveys with a panel of ten business process management experts. The main findings indicate a need for human control during reinforcement learning-driven experiments, the importance of aligning the methodology culturally and organizationally with the respective setting, and the necessity of an integrated process execution platform.

翻译：为更好地满足持续业务流程改进的需求，已提出应用DevOps原则。特别是，AB-BPM方法论运用AB测试和强化学习来提高改进工作的速度和质量。本文从行业视角探讨该方法，评估AB-BPM方法论及支撑工具的需求、风险、机遇等多方面。我们的定性分析将扎根理论与德尔菲研究相结合，包括半结构化访谈及对十位业务流程管理专家小组进行的多次跟踪调查。主要发现表明：在强化学习驱动的实验过程中需进行人工控制；方法论需在文化及组织层面与特定环境相协调；以及集成流程执行平台的必要性。