Beyond app-chaining: Mobile app orchestration for efficient model driven software generation

Ziegler, Jens; Graube, Markus; Pfeffer, Johannes; Urbas, Leon

doi:10.1109/etfa.2012.6489541

Cited by 22 publications

(12 citation statements)

References 4 publications

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“…Initial research projects already provide promising approaches to these challenges [13]. Flexible data management using semantic networks, automated orchestration of individual apps to app networks on the basis of business process models, and the model-based generation of user interfaces are core concepts for future solutions [3].…”

Section: Discussionmentioning

confidence: 99%

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App-based system diagnosis using mobile information systems

Ziegler

Urbas

Lenz³

et al. 2014

Proceedings of the 2014 IEEE Emerging Technology and Factory Automation (ETFA)

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This paper presents a study of the potential of integrated services for app-based system diagnosis using mobile information systems. First, a task and context analysis is provided for the application of integrated system diagnosis in the context of plant asset management (PAM). Second, exemplary scenarios are presented which demonstrate IT services for system analysis based on selforganizing maps, system diagnosis with a graph-based approach and support for therapeutic measures on defective assets. Third, a mobile information system is presented that allows users to list, describe, filter, and select assets, to browse through available diagnoses, and to follow step-by-step instructions for recommended therapeutic measures. The mobile information system provides a graphical representation, description, and selection of assets by using a P&I diagram as well as a chart visualization of process values. The system further provides access to both static and transient data sources such as engineering data of the plant, process data of the technical process and the results of complex analysis services. This mobile information system demonstrates the suitability of the proposed app-based approach. Finally, the results of a focus group workshop are summarized, showing the potential of mobile information systems in an industrial setting, barriers that still remain.

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Section: Discussionmentioning

confidence: 99%

“…Thus, apps can be replaced without having to modify other apps, and workflows can be modified without having to revise the entire system. The orchestration can be automated, which leads to a substantial increase in the flexibility and cost-efficiency of the app development [3].…”

Section: Orchestrated Apps In the Industrymentioning

confidence: 99%

App-based system diagnosis using mobile information systems

Ziegler

Urbas

Lenz³

et al. 2014

Proceedings of the 2014 IEEE Emerging Technology and Factory Automation (ETFA)

Self Cite

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“…The third would involve implementing the framework as an enterprise modelling tool that allows the design of CMN systems. Lessons can be learned from an early project, ComVantage [51,52], investigating further the technical specifications of the suggested framework to develop a tool that has conceptual graphical notations, simulation, optimisation, and IS-development or integration capabilities. …”

Section: Discussionmentioning

confidence: 99%

Ecosystem-inspired enterprise modelling framework for collaborative and networked manufacturing systems

Fayoumi

2016

Computers in Industry

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Rapid changes in the open manufacturing environment are imminent due to the increase of customer demand, global competition, and digital fusion. This has exponentially increased both complexity and uncertainty in the manufacturing landscape, creating serious challenges for competitive enterprises. For enterprises to remain competitive, analysing manufacturing activities and designing systems to address emergent needs, in a timely and efficient manner, is understood to be crucial. However, existing analysis and design approaches adopt a narrow diagnostic focus on either managerial or engineering aspects and neglect to consider the holistic complex behaviour of enterprises in a collaborative manufacturing network (CMN). It has been suggested that reflecting upon ecosystem theory may bring a better understanding of how to analyse the CMN. The research presented in this paper draws on a theoretical discussion with aim to demonstrate a facilitating approach to those analysis and design tasks. This approach was later operationalised using enterprise modelling (EM) techniques in a novel, developed framework that enhanced systematic analysis, design, and business-IT alignment. It is expected that this research view is opening a new field of investigation.

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“…An external app orchestration system will automatically deploy and execute mobile apps that are chained according to the workflow dictated by the business process model. The orchestration engine should be modelaware in the sense that the precedence of app chaining must be dictated by the precedence of the apps modelled for the business process (details in [23]).…”

Section: Phase5mentioning

confidence: 99%

Agile Modelling Method Engineering: Lessons Learned in the ComVantage Research Project

Buchmann

Karagiannis

2015

Lecture Notes in Business Information Processing

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Part 9: Engineering MethodsInternational audienceThe paper reports on experiences accumulated during a EU research project where challenges pertaining to requirements-driven metamodelling agility have been analysed. Traditionally, modelling languages are perceived as stable artefacts – that is, if they address a sufficiently large community with fixed modelling requirements on a fixed layer of abstraction. However, the enterprise modelling community must also consider the case where evolving requirements emerge in a narrow domain, or even in a single enterprise, therefore reusability across domains will be sacrificed to the benefit of on-demand adaptation, specialization or integration. Under such conditions, an agile metamodelling approach was applied in the ComVantage project and this, in turn, raised specific requirements for conceptual and technological enablers, allowing us to derive conclusions that are generalized here beyond the project scope. The paper’s concluding SWOT analysis highlights the need to stimulate the emergence of an agile metamodelling paradigm based on community-driven enablers

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Beyond app-chaining: Mobile app orchestration for efficient model driven software generation

Cited by 22 publications

References 4 publications

App-based system diagnosis using mobile information systems

App-based system diagnosis using mobile information systems

Ecosystem-inspired enterprise modelling framework for collaborative and networked manufacturing systems

Agile Modelling Method Engineering: Lessons Learned in the ComVantage Research Project

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