Classification of Domain-Specific BPMN Extensions

Braun, Richard; Esswein, Werner

doi:10.1007/978-3-662-45501-2_4

Cited by 63 publications

(46 citation statements)

References 36 publications

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“…In doing so, we adopt a methodology similar to other domainspecific BPMN extensions [43]. Figure 1 exemplifies the use of the extended BPMN to model the adaptive ventilation application.…”

Section: Extending Bpmnmentioning

confidence: 99%

makeSense: Simplifying the Integration of Wireless Sensor Networks into Business Processes

Mottola

Picco

Oppermann³

et al. 2019

IIEEE Trans. Software Eng.

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Abstract-A wide gap exists between the state of the art in developing Wireless Sensor Network (WSN) software and current practices concerning the design, execution, and maintenance of business processes. WSN software is most often developed based on low-level OS abstractions, whereas business process development leverages high-level languages and tools. This state of affairs places WSNs at the fringe of industry. The makeSense system addresses this problem by simplifying the integration of WSNs into business processes. Developers use BPMN models extended with WSN-specific constructs to specify the application behavior across both traditional business process execution environments and the WSN itself, which is to be equipped with application-specific software. We compile these models into a high-level intermediate language-also directly usable by WSN developers-and then into OS-specific deployment-ready binaries. Key to this process is the notion of meta-abstraction, which we define to capture fundamental patterns of interaction with and within the WSN. The concrete realization of meta-abstractions is application-specific; developers tailor the system configuration by selecting concrete abstractions out of the existing codebase or by providing their own. Our evaluation of makeSense shows that i) users perceive our approach as a significant advance over the state of the art, providing evidence of the increased developer productivity when using makeSense; ii) in large-scale simulations, our prototype exhibits an acceptable system overhead and good scaling properties, demonstrating the general applicability of makeSense; and, iii) our prototype-including the complete tool-chain and underlying system support-sustains a real-world deployment where estimates by domain specialists indicate the potential for drastic reductions in the total cost of ownership compared to wired and conventional WSN-based solutions.

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“…In doing so, we adopt a methodology similar to other domainspecific BPMN extensions [43]. Figure 1 exemplifies the use of the extended BPMN to model the adaptive ventilation application.…”

Section: Extending Bpmnmentioning

confidence: 99%

makeSense: Simplifying the Integration of Wireless Sensor Networks into Business Processes

Mottola

Picco

Oppermann³

et al. 2019

IIEEE Trans. Software Eng.

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“…Many are managers that would like to switch to this new approach to modeling enterprise processes, but the real challenge is in the strong inertia that exists in enterprises. BPMN is becoming very present in the industry and allows for creation of specific extensions in order to provide support for specific branches of industry (Braun & Esswein, 2014). Thus, an effort to address social engineering issues is presented by (Brambilla, Fraternali & Vaca, 2011).…”

Section: Business Process Executionmentioning

confidence: 99%

Designing And Managing Businesses In The Digital Age

Tartaraj¹,

Papajorgji²

2019

The European Proceedings of Social and Behavioural Sciences

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“…Extension methods and models classified for two categorists that are; extension purpose and extension mechanism [32]. Extension purpose highlights the aim of the researcher to enhance the method, but extension mechanism focused on how extending methods technically, as explained in [33,34]. Finally, we can conclude this section is; IFML has extensibility for RIA features, in the next section we proposing a new approach for that aim.…”

Section: Extension Ifml Metamodelsmentioning

confidence: 99%