Model-Aware Software Engineering - A Knowledge-based Approach to Model-Driven Software Engineering

Robert Andrei  Buchmann; Mihai  Cinpoeru; Alisa  Harkai; Dimitris Karagiannis

doi:10.5220/0006694102330240

Model-Aware Software Engineering - A Knowledge-based Approach to Model-Driven Software Engineering

Robert Andrei Buchmann
, Mihai Cinpoeru
, Alisa Harkai
, Dimitris Karagiannis

Publications: Contribution to book › Contribution to proceedings › Peer Reviewed

Abstract

Standard modelling languages enabled the Model-Driven Software Engineering paradigm, allowing the development of model compilers for code generation. This, however, induces a subordination of implementation to the modelling language: the modelling benefits are confined to a fixed semantic space. On the other hand, the rise of agile software development practices has impacted model-driven engineering practices - an Agile Modelling paradigm was consequently introduced. This was later expanded towards the Agile Modelling Method Engineering (AMME) framework which generalizes agility at the modelling method level. By observing several AMME-driven implementation experiences, this paper specialises the notion of Model-Driven Software Engineering to that of Model-Aware Software Engineering - an approach that relies on modelling language evolution, in response to the evolution of the implemented system's requirements. The key benefit is that the modelling language-implementation dependency is reversed, as the implementation needs propagate requirements towards an agile modelling language.

Original language	English
Title of host publication	Proceedings of the 13th International Conference on Evaluation of Novel Approaches to Software Engineering - Volume 1: ENASE, 233-240, 2018, Funchal, Madeira, Portugal
Editors	Ernesto Damiani, George Spanoudakis, Leszek Maciaszek, Leszek Maciaszek
Pages	233-240
Number of pages	8
ISBN (Electronic)	9789897583001
DOIs	https://doi.org/10.5220/0006694102330240
Publication status	Published - 2018
Event	13th International Conference on Evaluation of Novel Approaches to Software Engineering, ENASE 2018 - Funchal, Madeira, Portugal Duration: 23 Mar 2018 → 24 Mar 2018

Conference

Conference	13th International Conference on Evaluation of Novel Approaches to Software Engineering, ENASE 2018
Abbreviated title	ENASE 2018
Country/Territory	Portugal
Period	23/03/18 → 24/03/18

Austrian Fields of Science 2012

102030 Semantic technologies

Keywords

Agile Modelling Method Engineering
Knowledge Representation
LESSONS
Model-Driven Software Engineering
Resource Description Framework

Access to Document

10.5220/0006694102330240

Cite this

Buchmann , R. A., Cinpoeru, M., Harkai, A., & Karagiannis, D. (2018). Model-Aware Software Engineering - A Knowledge-based Approach to Model-Driven Software Engineering. In E. Damiani, G. Spanoudakis, L. Maciaszek, & L. Maciaszek (Eds.), Proceedings of the 13th International Conference on Evaluation of Novel Approaches to Software Engineering - Volume 1: ENASE, 233-240, 2018, Funchal, Madeira, Portugal (pp. 233-240) https://doi.org/10.5220/0006694102330240

Buchmann , Robert Andrei ; Cinpoeru, Mihai ; Harkai, Alisa et al. / Model-Aware Software Engineering - A Knowledge-based Approach to Model-Driven Software Engineering. Proceedings of the 13th International Conference on Evaluation of Novel Approaches to Software Engineering - Volume 1: ENASE, 233-240, 2018, Funchal, Madeira, Portugal. editor / Ernesto Damiani ; George Spanoudakis ; Leszek Maciaszek ; Leszek Maciaszek. 2018. pp. 233-240

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title = "Model-Aware Software Engineering - A Knowledge-based Approach to Model-Driven Software Engineering",

abstract = "Standard modelling languages enabled the Model-Driven Software Engineering paradigm, allowing the development of model compilers for code generation. This, however, induces a subordination of implementation to the modelling language: the modelling benefits are confined to a fixed semantic space. On the other hand, the rise of agile software development practices has impacted model-driven engineering practices - an Agile Modelling paradigm was consequently introduced. This was later expanded towards the Agile Modelling Method Engineering (AMME) framework which generalizes agility at the modelling method level. By observing several AMME-driven implementation experiences, this paper specialises the notion of Model-Driven Software Engineering to that of Model-Aware Software Engineering - an approach that relies on modelling language evolution, in response to the evolution of the implemented system's requirements. The key benefit is that the modelling language-implementation dependency is reversed, as the implementation needs propagate requirements towards an agile modelling language.",

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note = "Publisher Copyright: Copyright {\textcopyright} 2018 by SCITEPRESS – Science and Technology Publications, Lda. All rights reserved; 13th International Conference on Evaluation of Novel Approaches to Software Engineering, ENASE 2018, ENASE 2018 ; Conference date: 23-03-2018 Through 24-03-2018",

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Buchmann , RA, Cinpoeru, M, Harkai, A & Karagiannis, D 2018, Model-Aware Software Engineering - A Knowledge-based Approach to Model-Driven Software Engineering. in E Damiani, G Spanoudakis, L Maciaszek & L Maciaszek (eds), Proceedings of the 13th International Conference on Evaluation of Novel Approaches to Software Engineering - Volume 1: ENASE, 233-240, 2018, Funchal, Madeira, Portugal. pp. 233-240, 13th International Conference on Evaluation of Novel Approaches to Software Engineering, ENASE 2018, Portugal, 23/03/18. https://doi.org/10.5220/0006694102330240

Model-Aware Software Engineering - A Knowledge-based Approach to Model-Driven Software Engineering. / Buchmann , Robert Andrei ; Cinpoeru, Mihai ; Harkai, Alisa et al.
Proceedings of the 13th International Conference on Evaluation of Novel Approaches to Software Engineering - Volume 1: ENASE, 233-240, 2018, Funchal, Madeira, Portugal. ed. / Ernesto Damiani; George Spanoudakis; Leszek Maciaszek; Leszek Maciaszek. 2018. p. 233-240.

Publications: Contribution to book › Contribution to proceedings › Peer Reviewed

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T1 - Model-Aware Software Engineering - A Knowledge-based Approach to Model-Driven Software Engineering

AU - Buchmann , Robert Andrei

AU - Cinpoeru, Mihai

AU - Harkai, Alisa

AU - Karagiannis, Dimitris

PY - 2018

Y1 - 2018

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AB - Standard modelling languages enabled the Model-Driven Software Engineering paradigm, allowing the development of model compilers for code generation. This, however, induces a subordination of implementation to the modelling language: the modelling benefits are confined to a fixed semantic space. On the other hand, the rise of agile software development practices has impacted model-driven engineering practices - an Agile Modelling paradigm was consequently introduced. This was later expanded towards the Agile Modelling Method Engineering (AMME) framework which generalizes agility at the modelling method level. By observing several AMME-driven implementation experiences, this paper specialises the notion of Model-Driven Software Engineering to that of Model-Aware Software Engineering - an approach that relies on modelling language evolution, in response to the evolution of the implemented system's requirements. The key benefit is that the modelling language-implementation dependency is reversed, as the implementation needs propagate requirements towards an agile modelling language.

KW - Agile Modelling Method Engineering

KW - Knowledge Representation

KW - LESSONS

KW - Model-Driven Software Engineering

KW - Resource Description Framework

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SN - 978-989-758-300-1

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EP - 240

BT - Proceedings of the 13th International Conference on Evaluation of Novel Approaches to Software Engineering - Volume 1: ENASE, 233-240, 2018, Funchal, Madeira, Portugal

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T2 - 13th International Conference on Evaluation of Novel Approaches to Software Engineering, ENASE 2018

Y2 - 23 March 2018 through 24 March 2018

ER -

Buchmann RA, Cinpoeru M, Harkai A, Karagiannis D. Model-Aware Software Engineering - A Knowledge-based Approach to Model-Driven Software Engineering. In Damiani E, Spanoudakis G, Maciaszek L, Maciaszek L, editors, Proceedings of the 13th International Conference on Evaluation of Novel Approaches to Software Engineering - Volume 1: ENASE, 233-240, 2018, Funchal, Madeira, Portugal. 2018. p. 233-240 doi: 10.5220/0006694102330240

Model-Aware Software Engineering - A Knowledge-based Approach to Model-Driven Software Engineering

Abstract

Conference

Austrian Fields of Science 2012

Keywords

Access to Document

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