Case Management Model and Notation (CMMN) has been introduced as a graphical modeling language targeting the modeling of human-centric processes. Despite its growing reputation since 2016, when the OMG standant was released, the usage and the adoption potential of CMMN is not yet evaluated. The goal of this paper is to evaluate CMMN language and the contribution of its main notation elements to its future adoption, based on the experience of modelers. A CMMN workshop was conducted, where groups of modelers modeled two different human-centric, real-world processes with CMMN. The effectiveness and efficiency of the language and modelers’ usage experience were evaluated. Their perception of the role of the CMMN notation elements to their future adoption CMMN have been recorded through a survey. A multi-criteria decision making method (Analytic Hierarchy Process–AHP) was utilized for analyzing the answers and generating the results. The evaluation results showed that CMMN language could be adopted for modeling non-structural processes and the study participants showed a positive attitude towards adopting CMMN driven by the fact that they overall perceived it as useful. To the best of our knowledge, this is the first attempt to evaluate CMMN language’s usability and prospects of adoption. Moreover, this is the first empirical study that explores the syntax of a process modeling language and its effect on its usage and adoption. Overall, since interest in CMMN is increasing, this work could inspire future researchers and practitioners to further explore the CMMN usage and adoption potential.

案例管理模型和表示法（CMMN）已作为一种图形建模语言引入，该语言针对以人为中心的流程进行建模。尽管自2016年OMG标准版发布以来其声誉不断提高，但尚未评估CMMN的用途和采用潜力。本文的目的是根据建模者的经验来评估CMMN语言及其主要符号元素对其未来采用的贡献。举办了CMMN研讨会，其中的建模者团队使用CMMN建模了两个不同的以人为中心的现实过程。评估了语言的有效性和效率以及建模者的使用经验。他们通过调查记录了他们对CMMN标记元素对他们未来采用CMMN的作用的理解。利用多准则决策方法（层次分析法– AHP）来分析答案并生成结果。评估结果表明，可以将CMMN语言用于非结构化过程的建模，并且研究参与者对CMMN的采用表现出积极的态度，这是由于他们总体上认为它是有用的。据我们所知，这是评估CMMN语言的可用性和采用前景的首次尝试。此外，这是第一个实证研究，探讨了过程建模语言的语法及其对它的使用和采用的影响。总体而言，由于对CMMN的兴趣正在增加，因此这项工作可能会激发未来的研究人员和从业人员进一步探索CMMN的使用和采用潜力。