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• An Interdisciplinary Model-Driven Approach for Developing and Executing IoT-Enhanced Business Process ls-type:: annotation hl-page:: 2 hl-color:: green id:: 64f34504-32b1-4b7b-aa31-2a069cdc3110
• T-enhanced BPs promises ls-type:: annotation hl-page:: 2 hl-color:: green id:: 64f34535-0d97-407f-8405-b555ac84f014
• FloBP, a model-driven engineering (MDE) approach separating concerns between the IoT and BPs ls-type:: annotation hl-page:: 2 hl-color:: purple id:: 64f3454e-73b8-4bde-8077-3bf8e170322e
• modelling and executing IoT-enhanced BPs. ls-type:: annotation hl-page:: 2 hl-color:: purple id:: 64f34564-49e9-439b-92af-aa5ba30097c8
• An Internet of Things (IoT)-enhanced Business Process (BP) refers to integrating IoT technologies and devices into various aspects of a business’s operations and workflows to optimise efficiency, enhance productivity, and enable new capabilities of the organization ls-type:: annotation hl-page:: 3 hl-color:: green id:: 64f5e677-ebf0-4667-b200-eabd8ed78569
• air conditioner ls-type:: annotation hl-page:: 3 hl-color:: yellow id:: 64f5e688-e52e-4478-8585-b2aa225b4341
• Making data-driven decisions based on these insights can enhance overall efficiency, reduce costs, elevate the customer experience, and foster innovation. ls-type:: annotation hl-page:: 3 hl-color:: green id:: 64f5e6d1-25b7-421f-9869-2040d87b6623
• This convergence of IoT technologies and BPs can empower organisations to remain agile, optimise their operations, and gain a competitive advantage in the ever-evolving digital landscape ls-type:: annotation hl-page:: 3 hl-color:: blue id:: 64f5e814-6f37-43e6-90c9-d0f4fa10d0f1
• Integrating the domains of IoT and Business Process Management (BPM) poses inherent challenges due to their different abstraction levels and characteristics that need to be handled by different experts’ competencies, resulting in the high complexity and costs ls-type:: annotation hl-page:: 3 hl-color:: green id:: 64f5e81e-4d3d-495f-897c-3b58bc5fdf0e
• heterogeneity complicates the integration process, requiring solutions to address interoperability and standardization issues ls-type:: annotation hl-page:: 3 hl-color:: green id:: 64f5e836-a1ed-478d-b484-73e93ceb5d16
• business modellers asked to design processes seek to abstract from the intricate technical aspects of IoT. ls-type:: annotation hl-page:: 3 hl-color:: green id:: 64f5e841-6650-4b26-ac42-2c26122fb711
• innovative approaches to enable a coherent convergence of holistic disciplines such as the IoT and BPM, empowering organisations to leverage the benefits of IoT technologies without compromising the agility and efficiency of their BPs ls-type:: annotation hl-page:: 4 hl-color:: purple id:: 64f5e857-03ea-4c06-ac24-f356b8d39e5b
• Tackling the problem from an interdisciplinary perspective requires handling the intrinsic difficulty in developing these solutions ls-type:: annotation hl-page:: 4 hl-color:: green id:: 64f5e87a-0f0f-43fa-bd50-f80e57f1796c
• IoT solutions that meet customer demands while avoiding duplication of effort and ensuring efficient utilisation of resources ls-type:: annotation hl-page:: 4 hl-color:: green id:: 64f5e8ae-ede8-46fa-994c-6ba07c02a987
• FloBP builds over two different approaches, presented in[13] and [14]. The first one, named FloWare [13], proposes a model-driven strategy to explicitly model the IoT domain knowledge through a predefined Feature Models structure. The second one, [14], poses guidelines to develop IoT-enhanced BPs and provides a microservices infrastructure to support the deployment of the underlying processes. ls-type:: annotation hl-page:: 4 hl-color:: purple id:: 64f5e8c8-f95d-46f7-b160-81a96249c4f5
• FloBP intends to provide support from the design to developing and deploying customised IoT-enhanced BPs. ls-type:: annotation hl-page:: 4 hl-color:: purple id:: 64f5e8d6-dc31-4d97-a12e-172893b9ab44
• edefines the structuring of Feature Model diagrams proposed in [13] so as to permit a more effective integration and usage of this knowledge in order to model IoT-enhanced BPs ls-type:: annotation hl-page:: 4 hl-color:: green id:: 64f5e910-f8c3-49ab-bf5e-35dcabe41ab6
• we analyse the constructs provided by the BPMN metamodel and define a proposal to specify IoT devices and pull interactions without modifying its metamodel. ls-type:: annotation hl-page:: 4 hl-color:: green id:: 64f5e928-ab1a-4ef7-ba04-d4d04e53391c
• we apply the Separation of Concerns (SoC) design principle to permit different experts to contribute to the different development phases and steps of the solution ls-type:: annotation hl-page:: 4 hl-color:: blue id:: 64f5e933-b496-4b91-9de3-2cd41ad8e59b
• A microservices architecture is designed to streamline the integration of business processes with the physical world ls-type:: annotation hl-page:: 4 hl-color:: green id:: 64f5e982-410a-4709-bff2-d1948c9e17bd
• t leverages the power of modelling tools and platforms to automate and optimise the development process, improving productivity and reducing time-to-market ls-type:: annotation hl-page:: 4 hl-color:: green id:: 64f5e9ca-3067-4b05-8736-683d2a06b3a6
• esign Science Research (DSR) ls-type:: annotation hl-page:: 5 hl-color:: yellow id:: 64f5e9dc-3de7-4c7c-9abb-f98b42b207d9
• According to the DSR [15], this solution can be categorised as an approach since it provides actionable instructions of a conceptual nature. ls-type:: annotation hl-page:: 5 hl-color:: blue id:: 64f5ecd3-6ecb-48c6-a506-afc8e4a261af
• problem identification and motivation ls-type:: annotation hl-page:: 5 hl-color:: green id:: 64f5ed94-2c3e-4c0b-81fd-2708f015f389
• design and development ls-type:: annotation hl-page:: 5 hl-color:: green id:: 64f5ed99-c558-4da4-99b4-6e2c00e76fbe
• defines objectives of the contribution ls-type:: annotation hl-page:: 5 hl-color:: green id:: 64f5eda2-9040-4543-83cc-7f57e9c0cca7
• demonstration ls-type:: annotation hl-page:: 5 hl-color:: green id:: 64f5edb5-9764-49ee-990b-4bca945c3d16
• improving efficiency (in terms of time, cost, sustainability, etc.). ls-type:: annotation hl-page:: 5 hl-color:: green id:: 64f5edf1-9f93-4cef-af06-0e7d5dd31c5a
• To better explain the problem, we will consider the part of a smart canteen scenario in which different IoT devices can be integrated into the processes supporting food distribution and those managing the canteen hal ls-type:: annotation hl-page:: 6 hl-color:: green id:: 64f5ee2f-b52d-4533-86da-3f35dd519132
• However, these activities can become difficult to achieve when the canteen reaches high volumes of concurrent customers, and integrating IoT devices into the canteen processes to make them more effective, seems to be a profitable direction. ls-type:: annotation hl-page:: 6 hl-color:: green id:: 64f5ee6e-749f-41e5-a654-62826d03ad65
• Anyway, to make it more effective different IoT devices could be included in supporting BP activities. ls-type:: annotation hl-page:: 6 hl-color:: green id:: 64f5eea5-604c-4b52-98e2-e2ac76b5e2bc
• The integration of IoT devices inside the overall process is strictly dependent on the customer’s requirements. ls-type:: annotation hl-page:: 6 hl-color:: green id:: 64f5eeb5-7ada-4c6e-8585-48a0203f7446
• arious types of devices can be utilised to fulfil different functionalities. ls-type:: annotation hl-page:: 6 hl-color:: green id:: 64f5eec4-1e0b-49a2-8752-74415a6bf64a
• This preference is reflected in the overall BP, which could need to be adapted or enhanced according to the IoT devices chosen ls-type:: annotation hl-page:: 6 hl-color:: blue id:: 64f5eee7-32a9-4600-a5a5-6317432d2153 hl-stamp:: 1693839082230
• If we want these processes to be executable, the process must be deployed in a process engine, and the IoT devices must also be set up and configured. H ls-type:: annotation hl-page:: 6 hl-color:: green id:: 64f5ef10-bc25-44b7-ab3e-6bf4a0f9ebc7
• Considering the aforementioned challenges, we intended to derive and validate a model-driven development process that can support the interdisciplinary nature of IoT-enhanced BPs, fostering the separation of concerns and the smooth cooperation of different stakeholders, bringing different expertise. ls-type:: annotation hl-page:: 7 hl-color:: yellow id:: 64f5fabc-0007-47cd-8b9c-f733ec7736cd hl-stamp:: 1693842112456
• By adopting a MDE approach, enterprises can use the acquired knowledge and experience to optimise their software development processes ls-type:: annotation hl-page:: 7 hl-color:: green id:: 64f70ae2-acfb-419f-ad8b-a0559d457a92 hl-stamp:: 1693911781041
• ach phase encompasses multiple steps to be carried out by different actors, as depicted in Figure 1 within the Modelling Layer. ls-type:: annotation hl-page:: 7 hl-color:: green id:: 64f710c9-11a3-4155-a445-c0ec4c42be54
• Platform Independent Mode ls-type:: annotation hl-page:: 8 hl-color:: green id:: 64f710e8-1bba-4283-ab1e-3854ebfe0fc4
• Step 1 - Feature Model Design ls-type:: annotation hl-page:: 8 hl-color:: green id:: 64f71100-b91f-4153-b376-8e4f02c7348b
• IoT Modelling Expert, ls-type:: annotation hl-page:: 8 hl-color:: green id:: 64f7113b-06f1-42b0-9ace-ceec319b226c
• Step 2 - IoT-enhanced BP Design. ls-type:: annotation hl-page:: 8 hl-color:: green id:: 64f71192-487a-4f86-aee9-ddf4200e352c
• BP can trigger on-demand IoT device operations inserted on it, explicitly demanding an IoT device to act. ls-type:: annotation hl-page:: 9 hl-color:: green id:: 64f71cc4-549a-44e6-b5ea-79e3722b4d7a
• High-level events related to IoT devices can trigger the BP when activated ls-type:: annotation hl-page:: 9 hl-color:: green id:: 64f71cec-e5da-4a6c-8d80-facd5987b176
• Once terminated, the resulting IoT-enhanced BP is deployed inside the BPMN Engine, a microservice able to execute at runtime the developed model. ls-type:: annotation hl-page:: 9 hl-color:: green id:: 64f71d09-d1cf-449e-a9fa-a44eed4676d1
• This provides a comprehensive structure of the expert’s decisions based on the business requirements, referred to as the Step 3 - Feature Model Configuration. ls-type:: annotation hl-page:: 9 hl-color:: green id:: 64f71d1c-c1cb-4440-81f6-504cafae813d
• n this sense, further refinement is necessary to allow communication between the BP and the IoT devices. ls-type:: annotation hl-page:: 9 hl-color:: green id:: 64f71d28-2b91-4440-8485-98e52ac9969b
• The IoT Application Developer is responsible for providing specific information about each IoT device involved in the BP, such as the technical aspects required for deployment in the physical world. ls-type:: annotation hl-page:: 9 hl-color:: green id:: 64f71d44-f1df-4711-9bfb-5bb8d64e53e8
• This model represents the technological configuration of the solution in charge and is saved in the Config Server, a microservice dedicated to this purpose ls-type:: annotation hl-page:: 9 hl-color:: green id:: 64f71d5d-c175-4d67-bc8c-1e31cebc0ff7
• Step 5 - IoT Application Templates ls-type:: annotation hl-page:: 9 hl-color:: green id:: 64f71d6c-d227-4b0f-9f08-520f8ba5a9a9
• an extended version of the feature model structure proposed by the FloWare approach ls-type:: annotation hl-page:: 8 hl-color:: yellow id:: 64f71d86-c47a-4763-9903-774cbf464a04 hl-stamp:: 1693916552043
• oT Domain Knowledge is derived, focusing on the available IoT systems and devices relevant to the specific IoT solution ls-type:: annotation hl-page:: 8 hl-color:: blue id:: 64f71dda-d699-4155-8051-5b43eda95889 hl-stamp:: 1693916636326
• o achieve this, a software platform is required to convert the raw data collected from devices into actionable high-level information. ls-type:: annotation hl-page:: 10 hl-color:: blue id:: 64f71e51-d5c3-4da7-ab28-c728db7d24e9
• hese templates serve as a base for processing data generated by IoT devices and assist the IoT Application Developer in modelling and managing those high-level events previously defined in the IoT-enhanced BP. Whenever an event occurs, the high-level event result is sent to the BPMN engine, which triggers the starting or continuation of the IoT-enhanced BP executio ls-type:: annotation hl-page:: 10 hl-color:: yellow id:: 64f71ed4-d469-48c4-94b7-c0eafa1d8d27 hl-stamp:: 1693916886284
• smart canteen scenario ls-type:: annotation hl-page:: 10 hl-color:: yellow id:: 64f71f6c-117f-4c90-b5c9-2fd18e7f6248
• digitisation ls-type:: annotation hl-page:: 10 hl-color:: red id:: 650091ff-b534-46ed-98b7-7ae157ae66a0
• [:span] ls-type:: annotation hl-page:: 8 hl-color:: green id:: 65042c3d-8795-4c43-a641-f7ad6aec9fc1 hl-type:: area hl-stamp:: 1694772283719
• We have described this necessity in detail in the FloWare approach [13], discussing how an organisation specialising in a specific IoT domain needs to categorise the overall IoT software and hardware solutions offered. We synthesised this concept with the term crystallised IoT knowledge to indicate the possibility of representing the entire experience and awareness that a given enterprise acquired in a specific IoT application context. This knowledge can then be used to satisfy each customer’s necessities specifically. In FloWare [13], feature models have been selected in order to represent such knowledge ls-type:: annotation hl-page:: 11 hl-color:: yellow id:: 65042cc8-e56e-4ecf-8b32-45c2e52a6d41
• Feature Model Structure ls-type:: annotation hl-page:: 11 hl-color:: green id:: 650430b9-64ac-40bf-b8d1-7be44b3fca1e
• IoT-Lite3 ontology ls-type:: annotation hl-page:: 11 hl-color:: green id:: 650430e7-dee7-4807-82c8-d8cd1c4ac42e
• In the FloBP approach, we extended this structure, as reported in Figure2, providing detailed information regarding IoT devices and their operations ls-type:: annotation hl-page:: 11 hl-color:: green id:: 65043200-c7e9-41e3-92a4-51d4504376fa
• xamples of such protocols include MQTT, Bluetooth, CoAP, HTTP, LoRa, or ZigBee. ls-type:: annotation hl-page:: 12 hl-color:: green id:: 65043252-124a-4b61-a648-2ebc65106f8c
• eneration of artefacts ls-type:: annotation hl-page:: 12 hl-color:: yellow id:: 6504326b-d8bd-49a4-a5b4-7e12c75c3366
• BPMN editor to allow BP modelling activities with IoT-related modelling elements. In such a way, the knowledge of IoT experts is transferred to be used by BP experts. ls-type:: annotation hl-page:: 14 hl-color:: yellow id:: 65043335-3c12-46b3-88cc-8354e16d4c8a hl-stamp:: 1694774079886
• Valderas, P., Torres, V., Serral, E.: Modelling and executing iot-enhanced business processes through BPMN and microservices. J. Syst. Softw. 184,111139 (2022) ls-type:: annotation hl-page:: 43 hl-color:: yellow id:: 650433ca-60d9-4a6a-a749-7fd1d0f7fa59 hl-stamp:: 1694775180501
• Corradini, F., Fedeli, A., Fornari, F., Polini, A., Re, B.: Floware: a modeldriven approach fostering reuse and customisation in iot applications modelling and development. Software and Systems Modeling, 1–28 (2022 ls-type:: annotation hl-page:: 43 hl-color:: yellow id:: 650433d8-e596-4433-9f4e-93eb478b8308
• IoT devices and their functionalities have been modelled, we need to describe how they participate in the processes of an organisation ls-type:: annotation hl-page:: 15 hl-color:: green id:: 650436e0-97d9-475e-8453-2bf65896ba72 hl-stamp:: 1694775010940
• On-demand Interaction ls-type:: annotation hl-page:: 15 hl-color:: green id:: 65043767-2719-4b14-a0d7-e31a496de9c2
• Autonomous Interaction ls-type:: annotation hl-page:: 15 hl-color:: green id:: 6504376b-197a-4f80-bb7c-44a3f3c065e0
• these guidelines, providing compatibility and interoperability. ls-type:: annotation hl-page:: 16 hl-color:: yellow id:: 650437ce-03bf-4a46-b57d-46cb06364725
• Fig. 6 ls-type:: annotation hl-page:: 19 hl-color:: green id:: 6504387b-efeb-4bce-bf91-5393ffc979d2 hl-stamp:: 1694775421931
• Feature model representing the Smart Canteen IoT Domain ls-type:: annotation hl-page:: 13 hl-color:: green id:: 650438b8-3c2b-42e6-be56-cd144ef284de
• that IoT devices typically lack the computing capabilities to generate high-level events directly. ls-type:: annotation hl-page:: 20 hl-color:: green id:: 6504392e-3eb0-40e3-89f2-9ad09c36db5b
• FloWare Platform. This platform leverages Node-RED flows, which are responsible for interacting with IoT devices and generating the high-level events required by the BP at runtime. This approach is further explained in detail in Section 5 of the paper ls-type:: annotation hl-page:: 20 hl-color:: yellow id:: 6504395a-2131-44de-aa63-9fa3c09532b7 hl-stamp:: 1694775643598
• hey are deployed into a BPMN Engine microservice that executes them ls-type:: annotation hl-page:: 25 hl-color:: green id:: 65043c0c-0ca1-455f-b697-1dbc35c253a6 hl-stamp:: 1694776334504
• It is feasible to execute IoT-enhanced BPs modelled with BPMN and Feature Models with the proposed architectural solution ls-type:: annotation hl-page:: 25 hl-color:: yellow id:: 65043c3e-a192-4363-82ba-21a99f8972ea hl-stamp:: 1694776384249
• oT module implemented in Java that oversees the ls-type:: annotation hl-page:: 25 hl-color:: green id:: 65044dc1-a52e-4c1e-8d3e-04a967cc0cc8 hl-stamp:: 1694780870170
• execution of IoT device operations ls-type:: annotation hl-page:: 26 hl-color:: green id:: 65044dd6-1aa1-4b98-9605-e9a9b39926bf
• Microservice architecture implemented as a proof of concep ls-type:: annotation hl-page:: 26 hl-color:: yellow id:: 65044df4-4b29-4faa-b466-10d13b289140 hl-stamp:: 1694780924118
• correct performance ls-type:: annotation hl-page:: 26 hl-color:: yellow id:: 65044e75-d981-4fd2-8240-a1712a7327d1 hl-stamp:: 1694781051276
• According to the generated logs, we could conclude that the realisation of the proposed architecture successfully executed the motivating examples ls-type:: annotation hl-page:: 28 hl-color:: green id:: 65044ed9-152e-4354-951c-d4b8014b5874 hl-stamp:: 1694781148682
• IoT Modelling Expert ls-type:: annotation hl-page:: 28 hl-color:: green id:: 650450cc-3b33-4e99-b770-4f2cff7fccff
• he proposed FloBP approach and the supporting infrastructure allows an effective collaboration to construct and deploy an IoT-enhanced BP, the flow of coordinated tasks, the IoT devices participating in the BP, and the interactions that the process must have with IoT devices. ls-type:: annotation hl-page:: 28 hl-color:: green id:: 65045114-e23a-4d97-9776-1a33bcb6ba08
• Runeson, P., H¨ost, M.: Guidelines for conducting and reporting case study research in software engineering. Empir. Softw. Eng. 14(2), 131–164(2009 ls-type:: annotation hl-page:: 43 hl-color:: green id:: 6504517f-4d23-4d6d-9a71-cd8b0da1d5fc
• 0 subjects participated in the experiment, plus the authors that played the role of IoT Modelling Experts. ls-type:: annotation hl-page:: 28 hl-color:: green id:: 65045259-3212-425b-a2d9-f33a4be404ba
• 0 participants between 28 and 54 years old ls-type:: annotation hl-page:: 29 hl-color:: green id:: 65045270-a26b-42e9-a4ee-215d643c61a2
• 10 participants between 25 and 36 years old ls-type:: annotation hl-page:: 29 hl-color:: green id:: 6504527c-4771-4cbb-9694-47f609976320
• hese sessions were also used to reinforce some basic notions we consider opportune from the analysis of the questionnaire results ls-type:: annotation hl-page:: 29 hl-color:: green id:: 650452a7-7aa0-4988-a528-466900808e71
• usability requirements are (1) effectiveness, (2) efficiency, and (3) user acceptance. ls-type:: annotation hl-page:: 29 hl-color:: green id:: 6504533c-3646-4983-9b24-bafdbfd2393f
• a predefined master result ls-type:: annotation hl-page:: 29 hl-color:: yellow id:: 65045355-96b4-46dd-8749-2f9e88dfbc2f hl-stamp:: 1694782294888
• time neede ls-type:: annotation hl-page:: 29 hl-color:: green id:: 6504537f-42c6-4c42-b270-f3eb43bdae12 hl-stamp:: 1694782337807
• a NASA-TLX questionnaire ls-type:: annotation hl-page:: 29 hl-color:: green id:: 6504538b-d7c1-48da-a82e-bc3724febdf0
• Hart, S.G., Staveland, L.E.: Development of NASA-TLX (Task Load Index): Results of Empirical and Theoretical Research 52, 139–183 (1988) ls-type:: annotation hl-page:: 45 hl-color:: green id:: 650453ac-52b8-4280-8dae-5b1aa88be24f
• A demographic questionnaire ls-type:: annotation hl-page:: 29 hl-color:: green id:: 65045457-f361-4919-bc5a-96a4708cc102
• Work description ls-type:: annotation hl-page:: 29 hl-color:: green id:: 6504545b-048f-43b9-998e-f29a52f08c22
• A NASA-TLX questionnaire ls-type:: annotation hl-page:: 30 hl-color:: green id:: 65045463-ae35-46e5-aeca-ad31f1cd765e
• . In both workshops, during the first session, participants were asked to complete a demographic questionnaire to capture their backgrounds ls-type:: annotation hl-page:: 30 hl-color:: green id:: 650454f3-9e44-4b2f-9d8d-36340ec0daf8
• The objective of this training part was to provide participants with an overview of the whole process, i.e., which artefacts are produced and consumed along the process and who is responsible for their creation, edition/configuration, and deployment ls-type:: annotation hl-page:: 30 hl-color:: green id:: 65045509-49ab-4dc9-bd4d-22f47c3fc6c9
• hus, we can consider that our MDE approach is effective enough to support the design and execution of IoT-enhanced BPs ls-type:: annotation hl-page:: 31 hl-color:: blue id:: 65045579-7457-43c5-9356-b1a1fa985b0c hl-stamp:: 1694782843419
• The results obtained in this experiment allow us to accept the proposed hypothesis and conclude that the presented model-driven approach allows an effective collaborative development to create IoT-enhanced Business Processes in an interdisciplinary way. ls-type:: annotation hl-page:: 33 hl-color:: blue id:: 650455ba-b6c0-4e00-bbdc-95ebccc3d1e3
• However, during the experiment, we were also able to evaluate that the proposed development environment worked fine during the collaborative development. ls-type:: annotation hl-page:: 34 hl-color:: blue id:: 650455ef-7554-4e7b-883a-a80555aa979c
• . The web tool was able to import the feature model with the abstract descriptions of IoT devices that were created with the customised FloWare platform and generate a preliminary feature selection based on the modelled process ls-type:: annotation hl-page:: 34 hl-color:: blue id:: 65045601-99b4-4b24-bad3-38765200df0f
• This feature selection was loaded by the customised FloWare platform in order to be completed with the corresponding IoT device configuration. In the same way, the web tool was able to send the high-level events defined in the process to the customised FloWare platform in order to be supported by Node-RED flows. ls-type:: annotation hl-page:: 34 hl-color:: blue id:: 65045611-c6fb-44ec-857d-8151bf678377
• o reduce this problem, each solution was evaluated twice ls-type:: annotation hl-page:: 35 hl-color:: green id:: 650456ce-7f77-4938-b90b-b45a7ccbd586 hl-stamp:: 1694783185271
• IoT-enhanced Business Processes ls-type:: annotation hl-page:: 35 hl-color:: green id:: 65045707-5d7b-4273-909f-08a54f0f2dda
• BPMN Metamodel Extensions ls-type:: annotation hl-page:: 35 hl-color:: green id:: 65045720-3d5f-49f7-9965-2c215ec81665
• model requirements imposed by IoT systems and devices ls-type:: annotation hl-page:: 35 hl-color:: green id:: 6504572a-e780-4ad8-b56a-2c00698aac13
• BPMN ls-type:: annotation hl-page:: 35 hl-color:: green id:: 6504578c-d886-47b3-9ed8-db5756a92d80