Modeling of IoT devices in Business Processes: A Systematic Mapping Study

Torres, Victoria; Serral, Estefanía; Valderas, Pedro; Pelechano, Vicente; Grefen, Paul

doi:10.1109/cbi49978.2020.00031

Cited by 31 publications

(22 citation statements)

References 43 publications

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“…Data Objects are associated with data-aware BPMN elements to specify input and output data. Many of these typical process elements can also be found in IoT-related processes, which is why we investigate business processes as suitable approach for modelling processes in IoT [7,25]. The processes usually have to be refined with various additional parameters regarding data, messages, events and service calls to implement them and make them executable via the specific WfMS [19].…”

Section: Business Process-oriented Modellingmentioning

confidence: 99%

“…Sect. 3.1) [7,25], which is why we also investigate the suitability of BPMN 2.0-based approaches for end-user oriented IoT process modelling.…”

Section: Business Process-oriented Modellingmentioning

confidence: 99%

“…Literature surveys regarding the modelling of IoT-aware business processes can be found in [7,25,42]. Many approaches propose extensions of business process notations with new elements for IoT-/CPS-related sensor and actuator tasks and entities.…”

Section: Iot Process Modelling and Execution On "Classical" Guismentioning

confidence: 99%

“…These concepts facilitate the end-user oriented development as they are closer and directly related to the real world objects [5,31]; thus, end-users are more familiar with these concepts from everyday life experiences [94], which was also observed in the user study. The other two approaches-business processoriented and flow-based modelling-rely on more abstract and generic representations and proxies of the IoT devices in the form of pools, lanes, events, (service) tasks/activities [7], or nodes for protocol-dependant software modules and services [29]. These abstractions are more generic and allow for integrating a wider variety of process entities and software components.…”

Section: Objective O1: Simple Iot Process Modelling Languagementioning

confidence: 99%

“…Different approaches and paradigms were applied to realize this kind of low-code development platforms easing the development of IoT processes. Despite it being not their main application purpose, classical business processes were proposed and extended to model and execute processes among the physical and virtual entities of an IoT environment [7]. Flow-based modelling tools are more focused on the low-code development and wiring of IoT applications (e.g.…”

mentioning

confidence: 99%

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HoloFlows: modelling of processes for the Internet of Things in mixed reality

et al. 2021

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Our everyday lives are increasingly pervaded by digital assistants and smart devices forming the Internet of Things (IoT). While user interfaces to directly monitor and control individual IoT devices are becoming more sophisticated and end-user friendly, applications to connect standalone IoT devices and create more complex IoT processes for automating and assisting users with repetitive tasks still require a high level of technical expertise and programming knowledge. Related approaches for process modelling in IoT mostly suggest extensions to complex modelling languages, require high levels of abstraction and technical knowledge, and rely on unintuitive tools. We present a novel approach for end-user oriented-no-code-IoT process modelling using Mixed Reality (MR) technology: HoloFlows. Users are able to explore the IoT environment and model processes among sensors and actuators as first-class citizens by simply “drawing” virtual wires among physical IoT devices. MR technology hereby facilitates the understanding of the physical contexts and relations among the IoT devices and provides a new and more intuitive way of modelling IoT processes. The results of a user study comparing HoloFlows with classical modelling approaches show an increased user experience and decrease in required modelling knowledge and technical expertise to create IoT processes.

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Section: Business Process-oriented Modellingmentioning

confidence: 99%

“…Sect. 3.1) [7,25], which is why we also investigate the suitability of BPMN 2.0-based approaches for end-user oriented IoT process modelling.…”

Section: Business Process-oriented Modellingmentioning

confidence: 99%

Section: Iot Process Modelling and Execution On "Classical" Guismentioning

confidence: 99%

Section: Objective O1: Simple Iot Process Modelling Languagementioning

confidence: 99%

mentioning

confidence: 99%

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HoloFlows: modelling of processes for the Internet of Things in mixed reality

et al. 2021

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Business Process Management: Blockchain, Robotic Process Automation, and Central and Eastern Europe Forum

Marrella

Matulevičius²,

Gabryelczyk³

et al. 2022

Lecture Notes in Business Information Processing

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Since IoT devices supporting business processes (BPs) in sectors like manufacturing, logistics or healthcare can collect data on the execution of the processes, there is a growing awareness of the opportunity to use IoT data for process mining (PM). However, several challenges need to be addressed to enable IoT-enhanced PM, among which the need for a standard IoT-enhanced event log model. In this paper, we identify four main challenges for the integration of IoT data in event logs, from which 10 requirements for an IoT-enhanced event log model are derived. We then analyse the two main current event log models, the extensible event stream (XES) and the object-centric event log (OCEL), and confront them with the requirements, showing that both present important limitations to storing IoT-enhanced event logs. Based on this analysis, we conclude that a comprehensive data model is required to develop more advanced IoT-enhanced PM techniques.

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Modeling, Executing and Monitoring IoT-Driven Business Rules with BPMN and DMN: Current Support and Challenges

Kirikkayis

Gallik

Reichert

2022

Lecture Notes in Computer Science

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The involvement of the Internet of Things (IoT) in Business Process Management (BPM) solutions is continuously increasing. While BPM enables the modeling, implementation, execution, monitoring, and analysis of business processes, IoT fosters the collection and exchange of data over the Internet. By enriching BPM solutions with real-world IoT data both process automation and process monitoring can be improved. Furthermore, IoT data can be utilized during process execution to realize IoT-driven business rules that consider the state of the physical environment. The aggregation of low-level IoT data into processrelevant, high-level IoT data is a paramount step towards IoT-driven business processes and business rules respectively. In this context, Business Process Modeling and Notation (BPMN) and Decision Model and Notation (DMN) provide support to model, execute, and monitor IoTdriven business rules, but some challenges remain. This paper derives the challenges that emerge when modeling, executing, and monitoring IoT-driven business rules using BPMN 2.0 and DMN standards.

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Modeling of IoT devices in Business Processes: A Systematic Mapping Study

Cited by 31 publications

References 43 publications

HoloFlows: modelling of processes for the Internet of Things in mixed reality

HoloFlows: modelling of processes for the Internet of Things in mixed reality

Business Process Management: Blockchain, Robotic Process Automation, and Central and Eastern Europe Forum

Modeling, Executing and Monitoring IoT-Driven Business Rules with BPMN and DMN: Current Support and Challenges

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