Model Driven Development Challenges in the Automation Domain

Streitferdt, Detlef; Wendt, Gary; Nenninger, Philipp; Nyßen, Alexander; Lichter, Horst

doi:10.1109/compsac.2008.156

Cited by 15 publications

(15 citation statements)

References 4 publications

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“…Therefore the acquisition of competencies and expertise is a major driver for the successful implementation of MDD. However the acquisition of competencies and expertise in the context of MDD is a cumbersome process due to the significant technological threshold and steep learning curve involved, and the lack of expertise available on the labour market (Rios et al 2006, Hailpern and Tarr 2006, France and Rumpe 2007, Streitferdt et al 2008, Teppola et al 2009, Straeten et al 2009, Kolovos et al 2009, Mohagheghi et al 2009, Lauder et al 2010).…”

Section: O2 Acquisition Of Competencies and Expertisementioning

confidence: 99%

“…to think in terms of models, to be knowledgeable on the problem domain, etc.) and the heavy reliance on computer-based technologies to transform models into running systems (Rios et al 2006, France and Rumpe 2007, Chunying and Kang 2007, Zhu et al 2008, Streitferdt et al 2008, Straeten et al 2009, Teppola et al 2009, Vangheluwe 2011).…”

Section: O5 Reliance On High Level Modelsmentioning

confidence: 99%

“…People are still seen from a technological perspective through roles in the processes. Thus the social aspect in MDD is still ignored (Streitferdt et al 2008).…”

Section: O6 Emphasizing Technology Rather Than Humansmentioning

confidence: 99%

“…O7 Immature tools, lack of integrated development environments and off-the-shelf infrastructure Organizations adopting MDD have to provide their own infrastructure (such as meta-models, model transformations), configuration tools, build processes or to address incompatible tools and development environments (France and Rumpe 2007, Chunying and Kang 2007, Wagelaar 2008, Streitferdt et al 2008, Teppola et al 2009, Kolovos et al 2009, Mohagheghi et al 2009, Rivera et al 2009, Hailpern and Tarr 2006, Loniewski et al 2010, Tajali et al 2011.…”

Section: O6 Emphasizing Technology Rather Than Humansmentioning

confidence: 99%

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Challenges of Model-driven Modernization - An Agile Perspective

Stavru

Krasteva

Ilieva

2013

Proceedings of the 1st International Conference on Model-Driven Engineering and Software Development

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Software organizations are nowadays facing increased demand for modernizing their legacy software systems using up-to-date technologies. The combination of Model-Driven Development and delivery models like Cloud and Software as a Service have become a very promising approach for software modernization that possesses a lot of advantages, including great deal of automation and reuse of system functionality. However, the use of such new and immature technologies is very challenging and requires a comprehensive methodology for their seamless application within the software modernization projects. When developing such methodology, questions on whether agile methods and techniques should be incorporated and what could be the benefits and implications from that become of particular interest. To help answering these questions, the paper evaluates the potential of agile methods and techniques to address the challenges of Model-Driven Modernization. The challenges are extracted through a systematic review of the existing body of literature on Model-Driven Development and Software Modernization, and the evaluation is conducted through the Delphi technique. As a result, a ranked list of applicable agile techniques is proposed and suggestions for their use in Model-Driven Modernization are made.

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Section: O2 Acquisition Of Competencies and Expertisementioning

confidence: 99%

Section: O5 Reliance On High Level Modelsmentioning

confidence: 99%

“…People are still seen from a technological perspective through roles in the processes. Thus the social aspect in MDD is still ignored (Streitferdt et al 2008).…”

Section: O6 Emphasizing Technology Rather Than Humansmentioning

confidence: 99%

Section: O6 Emphasizing Technology Rather Than Humansmentioning

confidence: 99%

See 2 more Smart Citations

Challenges of Model-driven Modernization - An Agile Perspective

Stavru

Krasteva

Ilieva

2013

Proceedings of the 1st International Conference on Model-Driven Engineering and Software Development

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“…Several research groups, for example, [15][16][17][18], have proposed approaches to extend IEC 61499 and overcome identified shortcoming of the standard.…”

Section: Iec 61499mentioning

confidence: 99%

IEC 61499 as an Enabler of Distributed and Intelligent Automation: A State-of-the-Art Review—A Different View

Thramboulidis

2013

Journal of Engineering

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The industrial and research activities around the IEC 61499 architecture for distributed automation systems are discussed by Vyatkin, (2011). Research results related to the design of this kind of systems as well as to the execution of IEC 61449 on embedded devices are reviewed. It is claimed that IEC 61499 has been developed to enable intelligent automation through the distribution of software components and that the industry will benefit through its adoption from the promise of the intelligence automation research results. In this paper, several observations are presented on the arguments that are used to prove that IEC 61499 is a solid technology for industrial automation systems development. Portability, interoperability, code modularity, reusability, and reconfigurability as well as determinism and the event-driven execution of IEC 61499 are discussed.

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Analysis of Automation Potentials in Privacy Impact Assessment Processes

Zibuschka

2020

Computer Security

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Model Driven Development Challenges in the Automation Domain

Cited by 15 publications

References 4 publications

Challenges of Model-driven Modernization - An Agile Perspective

Challenges of Model-driven Modernization - An Agile Perspective

IEC 61499 as an Enabler of Distributed and Intelligent Automation: A State-of-the-Art Review—A Different View

Analysis of Automation Potentials in Privacy Impact Assessment Processes

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