Object-centric event data represent processes from the point of view of all the involved object types. This perspective has gained interest in recent years as it supports the analysis of processes that previously could not be adequately captured, due to the lack of a clear case notion as well as an increasing amount of output data that needs to be stored. Although publicly available event logs are crucial artifacts for researchers to develop and evaluate novel process mining techniques, the currently available object-centric event logs have limitations in this regard. Specifically, they mainly focus on control-flow and rarely contain objects with attributes that change over time, even though this is not realistic, as the attribute values of objects can be altered during their lifecycle. This paper addresses this gap by providing two means of establishing object-centric datasets with dynamically evolving attributes. First, we provide event log generators, which allow researchers to generate customized, artificial logs with dynamic attributes in the recently proposed DOCEL format. Second, we propose and evaluate an algorithm to convert OCEL logs into DOCEL logs, which involves the detection of event attributes that capture evolving object information and the creation of dynamic attributes from these. Through these contributions, this paper supports the advancement of object-centric process analysis by providing researchers with new means to obtain relevant data to use during the development of new techniques.

翻译：面向对象的事件数据从所有涉及对象类型的视角描述业务流程。这一视角近年来受到关注，因为它支持分析那些因缺乏明确案例概念且需存储不断增加的输出数据而此前难以充分捕获的流程。尽管公开可用的事件日志是研究人员开发和评估新型过程挖掘技术的重要工具，但当前可用的面向对象事件日志在此方面存在局限性。具体而言，这些日志主要关注控制流，很少包含属性随时间变化的对象，这与现实情况不符——因为对象的属性值在其生命周期中可能发生改变。本文通过提供两种构建具有动态演化属性的面向对象数据集的方法来填补这一空白。首先，我们提供事件日志生成器，使研究人员能够以最新提出的DOCEL格式生成定制化的人工日志并包含动态属性。其次，我们提出并评估了一种将OCEL日志转换为DOCEL日志的算法，该算法涉及检测捕获对象演化信息的事件属性，并据此创建动态属性。通过这些贡献，本文为研究人员提供了获取相关数据的新途径以支持新技术开发过程中的使用，从而推动面向对象过程分析的发展。