Partial loading of XMI models

Ran Wei; Dimitrios S. Kolovos; Antonio Garcia-Dominguez; Konstantinos Barmpis; Richard F. Paige

doi:10.1145/2976767.2976787

Partial loading of XMI models

Ran Wei, Dimitrios S. Kolovos, Antonio Garcia-Dominguez, Konstantinos Barmpis, Richard F. Paige

College of Engineering and Physical Sciences

Research output: Chapter in Book/Published conference output › Conference publication

Abstract

XML Metadata Interchange (XMI) is an OMG-standardised model exchange format, which is natively supported by the Eclipse Modeling Framework (EMF) and the majority of the modelling and model management languages and tools. Whilst XMI is widely supported, the XMI parser provided by EMF is inefficient in some cases where models are readonly (such as input models for model query, model-to-model transformation, etc) as it always requires loading the entire model into memory. In this paper we present a novel algorithm, and a prototype implementation (SmartSAX), which is capable of partially loading models persisted in XMI. SmartSAX oérs improved performance, in terms of loading time and memory footprint, over the default EMF XMI parser. We describe the algorithm in detail, and present benchmarking results that demonstrate the substantial improvements of the prototype implementation over the XMI parser provided by EMF.

Original language	English
Title of host publication	Proceedings - 19th ACM/IEEE International Conference on Model Driven Engineering Languages and Systems, MODELS 2016
Place of Publication	New York, NY (US)
Publisher	ACM
Pages	329-339
Number of pages	11
ISBN (Electronic)	978-1-4503-4321-3
DOIs	https://doi.org/10.1145/2976767.2976787
Publication status	Published - 2 Oct 2016
Event	19th ACM/IEEE International Conference on Model Driven Engineering Languages and Systems, MODELS 2016 - Saint-Malo, France Duration: 2 Oct 2016 → 7 Oct 2016

Conference

Conference	19th ACM/IEEE International Conference on Model Driven Engineering Languages and Systems, MODELS 2016
Country/Territory	France
City	Saint-Malo
Period	2/10/16 → 7/10/16

Bibliographical note

-

Keywords

EMF
partial model loading
XMI

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10.1145/2976767.2976787

Partial loading of XMI modelsAccepted author manuscript, 500 KB

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title = "Partial loading of XMI models",

abstract = "XML Metadata Interchange (XMI) is an OMG-standardised model exchange format, which is natively supported by the Eclipse Modeling Framework (EMF) and the majority of the modelling and model management languages and tools. Whilst XMI is widely supported, the XMI parser provided by EMF is inefficient in some cases where models are readonly (such as input models for model query, model-to-model transformation, etc) as it always requires loading the entire model into memory. In this paper we present a novel algorithm, and a prototype implementation (SmartSAX), which is capable of partially loading models persisted in XMI. SmartSAX o{\'e}rs improved performance, in terms of loading time and memory footprint, over the default EMF XMI parser. We describe the algorithm in detail, and present benchmarking results that demonstrate the substantial improvements of the prototype implementation over the XMI parser provided by EMF.",

keywords = "EMF, partial model loading, XMI",

author = "Ran Wei and Kolovos, {Dimitrios S.} and Antonio Garcia-Dominguez and Konstantinos Barmpis and Paige, {Richard F.}",

note = "-; 19th ACM/IEEE International Conference on Model Driven Engineering Languages and Systems, MODELS 2016 ; Conference date: 02-10-2016 Through 07-10-2016",

year = "2016",

month = oct,

day = "2",

doi = "10.1145/2976767.2976787",

language = "English",

pages = "329--339",

booktitle = "Proceedings - 19th ACM/IEEE International Conference on Model Driven Engineering Languages and Systems, MODELS 2016",

publisher = "ACM",

address = "United States",

}

Wei, R, Kolovos, DS, Garcia-Dominguez, A, Barmpis, K & Paige, RF 2016, Partial loading of XMI models. in Proceedings - 19th ACM/IEEE International Conference on Model Driven Engineering Languages and Systems, MODELS 2016. ACM, New York, NY (US), pp. 329-339, 19th ACM/IEEE International Conference on Model Driven Engineering Languages and Systems, MODELS 2016, Saint-Malo, France, 2/10/16. https://doi.org/10.1145/2976767.2976787

TY - GEN

T1 - Partial loading of XMI models

AU - Wei, Ran

AU - Kolovos, Dimitrios S.

AU - Garcia-Dominguez, Antonio

AU - Barmpis, Konstantinos

AU - Paige, Richard F.

N1 - -

PY - 2016/10/2

Y1 - 2016/10/2

N2 - XML Metadata Interchange (XMI) is an OMG-standardised model exchange format, which is natively supported by the Eclipse Modeling Framework (EMF) and the majority of the modelling and model management languages and tools. Whilst XMI is widely supported, the XMI parser provided by EMF is inefficient in some cases where models are readonly (such as input models for model query, model-to-model transformation, etc) as it always requires loading the entire model into memory. In this paper we present a novel algorithm, and a prototype implementation (SmartSAX), which is capable of partially loading models persisted in XMI. SmartSAX oérs improved performance, in terms of loading time and memory footprint, over the default EMF XMI parser. We describe the algorithm in detail, and present benchmarking results that demonstrate the substantial improvements of the prototype implementation over the XMI parser provided by EMF.

AB - XML Metadata Interchange (XMI) is an OMG-standardised model exchange format, which is natively supported by the Eclipse Modeling Framework (EMF) and the majority of the modelling and model management languages and tools. Whilst XMI is widely supported, the XMI parser provided by EMF is inefficient in some cases where models are readonly (such as input models for model query, model-to-model transformation, etc) as it always requires loading the entire model into memory. In this paper we present a novel algorithm, and a prototype implementation (SmartSAX), which is capable of partially loading models persisted in XMI. SmartSAX oérs improved performance, in terms of loading time and memory footprint, over the default EMF XMI parser. We describe the algorithm in detail, and present benchmarking results that demonstrate the substantial improvements of the prototype implementation over the XMI parser provided by EMF.

KW - EMF

KW - partial model loading

KW - XMI

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M3 - Conference publication

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BT - Proceedings - 19th ACM/IEEE International Conference on Model Driven Engineering Languages and Systems, MODELS 2016

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Y2 - 2 October 2016 through 7 October 2016

ER -

Partial loading of XMI models

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