Reporting on a Survey on Approaches to Co-Evolution of Metamodels and Models

Regina Hebig; Djamel Eddine Khelladi; Reda Bendraou

Reporting on a Survey on Approaches to Co-Evolution of Metamodels and Models

Regina Hebig, Djamel Eddine Khelladi, Reda Bendraou

Institute of Software Systems Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference proceedings › peer-review

Abstract

The paper was published in 2016 in IEEE Transactions on Software Engineering (http://dx.doi.org/10.1109/TSE.2016.2610424). Modeling languages, just as all software artifacts, evolve. This poses the risk that legacy models of a company get lost, when they become incompatible with the new language version. To address this risk, a multitude of approaches for metamodel-model co-evolution were proposed in the last 10 years. However, the high number of solutions makes it difficult for practitioners to choose an appropriate approach. In this paper, we present a survey on 31 approaches to support metamodel-model co-evolution. We introduce a taxonomy of solution techniques and classify the existing approaches. To support researchers, we discuss the state of the art, in order to better identify open issues. Furthermore, we use the results to provide a decision support for practitioners, who aim to adopt solutions from research.

Original language	English
Title of host publication	Software Engineering und Software Management 2018, Fachtagung des GI-Fachbereichs Softwaretechnik, SE 2018, 5.-9. M\arz 2018, Ulm, Germany
Editors	Matthias Tichy and Eric Bodden and Marco Kuhrmann and Stefan Wagner and Jan-Philipp Steghöfer
Publisher	Gesellschaft für Informatik
Pages	93-94
Number of pages	2
Publication status	Published - Apr 2018

Fields of science

102 Computer Sciences
102022 Software development

JKU Focus areas

Computation in Informatics and Mathematics
Engineering and Natural Sciences (in general)

Cite this

Hebig, R., Khelladi, D. E., & Bendraou, R. (2018). Reporting on a Survey on Approaches to Co-Evolution of Metamodels and Models. In Matthias Tichy and Eric Bodden and Marco Kuhrmann and Stefan Wagner and Jan-Philipp Steghöfer (Ed.), Software Engineering und Software Management 2018, Fachtagung des GI-Fachbereichs Softwaretechnik, SE 2018, 5.-9. M\arz 2018, Ulm, Germany (pp. 93-94). Gesellschaft für Informatik.

Hebig, Regina ; Khelladi, Djamel Eddine ; Bendraou, Reda. / Reporting on a Survey on Approaches to Co-Evolution of Metamodels and Models. Software Engineering und Software Management 2018, Fachtagung des GI-Fachbereichs Softwaretechnik, SE 2018, 5.-9. M\arz 2018, Ulm, Germany. editor / Matthias Tichy and Eric Bodden and Marco Kuhrmann and Stefan Wagner and Jan-Philipp Steghöfer. Gesellschaft für Informatik, 2018. pp. 93-94

@inproceedings{31c9fee0de7d489e83e3370fc2633284,

title = "Reporting on a Survey on Approaches to Co-Evolution of Metamodels and Models",

abstract = "The paper was published in 2016 in IEEE Transactions on Software Engineering (http://dx.doi.org/10.1109/TSE.2016.2610424). Modeling languages, just as all software artifacts, evolve. This poses the risk that legacy models of a company get lost, when they become incompatible with the new language version. To address this risk, a multitude of approaches for metamodel-model co-evolution were proposed in the last 10 years. However, the high number of solutions makes it difficult for practitioners to choose an appropriate approach. In this paper, we present a survey on 31 approaches to support metamodel-model co-evolution. We introduce a taxonomy of solution techniques and classify the existing approaches. To support researchers, we discuss the state of the art, in order to better identify open issues. Furthermore, we use the results to provide a decision support for practitioners, who aim to adopt solutions from research.",

author = "Regina Hebig and Khelladi, \{Djamel Eddine\} and Reda Bendraou",

year = "2018",

month = apr,

language = "English",

pages = "93--94",

editor = "\{Matthias Tichy and Eric Bodden and Marco Kuhrmann and Stefan Wagner and Jan-Philipp Stegh{\"o}fer\}",

booktitle = "Software Engineering und Software Management 2018, Fachtagung des GI-Fachbereichs Softwaretechnik, SE 2018, 5.-9. M\textbackslash{}arz 2018, Ulm, Germany",

publisher = "Gesellschaft f{\"u}r Informatik",

}

Hebig, R, Khelladi, DE & Bendraou, R 2018, Reporting on a Survey on Approaches to Co-Evolution of Metamodels and Models. in Matthias Tichy and Eric Bodden and Marco Kuhrmann and Stefan Wagner and Jan-Philipp Steghöfer (ed.), Software Engineering und Software Management 2018, Fachtagung des GI-Fachbereichs Softwaretechnik, SE 2018, 5.-9. M\arz 2018, Ulm, Germany. Gesellschaft für Informatik, pp. 93-94.

Reporting on a Survey on Approaches to Co-Evolution of Metamodels and Models. / Hebig, Regina; Khelladi, Djamel Eddine; Bendraou, Reda.
Software Engineering und Software Management 2018, Fachtagung des GI-Fachbereichs Softwaretechnik, SE 2018, 5.-9. M\arz 2018, Ulm, Germany. ed. / Matthias Tichy and Eric Bodden and Marco Kuhrmann and Stefan Wagner and Jan-Philipp Steghöfer. Gesellschaft für Informatik, 2018. p. 93-94.

Research output: Chapter in Book/Report/Conference proceeding › Conference proceedings › peer-review

TY - GEN

T1 - Reporting on a Survey on Approaches to Co-Evolution of Metamodels and Models

AU - Hebig, Regina

AU - Khelladi, Djamel Eddine

AU - Bendraou, Reda

PY - 2018/4

Y1 - 2018/4

N2 - The paper was published in 2016 in IEEE Transactions on Software Engineering (http://dx.doi.org/10.1109/TSE.2016.2610424). Modeling languages, just as all software artifacts, evolve. This poses the risk that legacy models of a company get lost, when they become incompatible with the new language version. To address this risk, a multitude of approaches for metamodel-model co-evolution were proposed in the last 10 years. However, the high number of solutions makes it difficult for practitioners to choose an appropriate approach. In this paper, we present a survey on 31 approaches to support metamodel-model co-evolution. We introduce a taxonomy of solution techniques and classify the existing approaches. To support researchers, we discuss the state of the art, in order to better identify open issues. Furthermore, we use the results to provide a decision support for practitioners, who aim to adopt solutions from research.

AB - The paper was published in 2016 in IEEE Transactions on Software Engineering (http://dx.doi.org/10.1109/TSE.2016.2610424). Modeling languages, just as all software artifacts, evolve. This poses the risk that legacy models of a company get lost, when they become incompatible with the new language version. To address this risk, a multitude of approaches for metamodel-model co-evolution were proposed in the last 10 years. However, the high number of solutions makes it difficult for practitioners to choose an appropriate approach. In this paper, we present a survey on 31 approaches to support metamodel-model co-evolution. We introduce a taxonomy of solution techniques and classify the existing approaches. To support researchers, we discuss the state of the art, in order to better identify open issues. Furthermore, we use the results to provide a decision support for practitioners, who aim to adopt solutions from research.

UR - https://dl.gi.de/20.500.12116/16337

M3 - Conference proceedings

SP - 93

EP - 94

BT - Software Engineering und Software Management 2018, Fachtagung des GI-Fachbereichs Softwaretechnik, SE 2018, 5.-9. M\arz 2018, Ulm, Germany

A2 - Matthias Tichy and Eric Bodden and Marco Kuhrmann and Stefan Wagner and Jan-Philipp Steghöfer, null

PB - Gesellschaft für Informatik

ER -

Hebig R, Khelladi DE, Bendraou R. Reporting on a Survey on Approaches to Co-Evolution of Metamodels and Models. In Matthias Tichy and Eric Bodden and Marco Kuhrmann and Stefan Wagner and Jan-Philipp Steghöfer, editor, Software Engineering und Software Management 2018, Fachtagung des GI-Fachbereichs Softwaretechnik, SE 2018, 5.-9. M\arz 2018, Ulm, Germany. Gesellschaft für Informatik. 2018. p. 93-94

Reporting on a Survey on Approaches to Co-Evolution of Metamodels and Models

Abstract

Fields of science

JKU Focus areas

Other files and links

Cite this