From Prose to Prototype: Synthesising Executable UML Models from Natural Language

Guus J. Ramackers; Pepijn P. Griffioen; Martijn B.J. Schouten; Michel R.V. Chaudron

doi:10.1109/MODELS-C53483.2021.00061

From Prose to Prototype: Synthesising Executable UML Models from Natural Language

Guus J. Ramackers
, Pepijn P. Griffioen
, Martijn B.J. Schouten
, Michel R.V. Chaudron

Engineering of Software-Intensive Systems

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/Congresprocedure › Conferentiebijdrage › Academic › peer review

7 Citaten (Scopus)

53 Downloads (Pure)

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This paper presents a vision for a development tool that provides automated support for synthesising UML models from requirements text expressed in natural language. This approach aims to simplify the process of analysis - i.e. moving from written (and spoken) descriptions of the functionality of a system and a domain to an executable specification of that system. The contribution focuses on the AI techniques used to transform natural language into structural and dynamic UML models. Moreover, we envision a 'human-in-the-loop' approach where an interactive conversational component is used based on machine learning of the system under construction and corpora of external natural language texts and UML models. To illustrate the approach, we present a tool prototype. As a scoping, this approach targets data-intensive systems rather than control-intensive (embedded) systems.

Originele taal-2	Engels
Titel	2021 ACM/IEEE International Conference on Model Driven Engineering Languages and Systems Companion, MODELS-C 2021
Uitgeverij	Institute of Electrical and Electronics Engineers
Pagina's	380-389
Aantal pagina's	10
ISBN van elektronische versie	978-1-6654-2484-4
DOI's	https://doi.org/10.1109/MODELS-C53483.2021.00061
Status	Gepubliceerd - 20 dec. 2021
Evenement	24th International Conference on Model-Driven Engineering Languages and Systems, MODELS-C 2021 - Virtual, Online, Japan Duur: 10 okt. 2021 → 15 okt. 2021

Congres

Congres	24th International Conference on Model-Driven Engineering Languages and Systems, MODELS-C 2021
Land/Regio	Japan
Stad	Virtual, Online
Periode	10/10/21 → 15/10/21

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Ramackers, G. J., Griffioen, P. P., Schouten, M. B. J., & Chaudron, M. R. V. (2021). From Prose to Prototype: Synthesising Executable UML Models from Natural Language. In 2021 ACM/IEEE International Conference on Model Driven Engineering Languages and Systems Companion, MODELS-C 2021 (blz. 380-389). Artikel 9643623 Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/MODELS-C53483.2021.00061

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title = "From Prose to Prototype: Synthesising Executable UML Models from Natural Language",

abstract = "This paper presents a vision for a development tool that provides automated support for synthesising UML models from requirements text expressed in natural language. This approach aims to simplify the process of analysis - i.e. moving from written (and spoken) descriptions of the functionality of a system and a domain to an executable specification of that system. The contribution focuses on the AI techniques used to transform natural language into structural and dynamic UML models. Moreover, we envision a 'human-in-the-loop' approach where an interactive conversational component is used based on machine learning of the system under construction and corpora of external natural language texts and UML models. To illustrate the approach, we present a tool prototype. As a scoping, this approach targets data-intensive systems rather than control-intensive (embedded) systems.",

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author = "Ramackers, \{Guus J.\} and Griffioen, \{Pepijn P.\} and Schouten, \{Martijn B.J.\} and Chaudron, \{Michel R.V.\}",

year = "2021",

month = dec,

day = "20",

doi = "10.1109/MODELS-C53483.2021.00061",

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booktitle = "2021 ACM/IEEE International Conference on Model Driven Engineering Languages and Systems Companion, MODELS-C 2021",

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Ramackers, GJ, Griffioen, PP, Schouten, MBJ & Chaudron, MRV 2021, From Prose to Prototype: Synthesising Executable UML Models from Natural Language. in 2021 ACM/IEEE International Conference on Model Driven Engineering Languages and Systems Companion, MODELS-C 2021., 9643623, Institute of Electrical and Electronics Engineers, blz. 380-389, 24th International Conference on Model-Driven Engineering Languages and Systems, MODELS-C 2021, Virtual, Online, Japan, 10/10/21. https://doi.org/10.1109/MODELS-C53483.2021.00061

From Prose to Prototype: Synthesising Executable UML Models from Natural Language. / Ramackers, Guus J.; Griffioen, Pepijn P.; Schouten, Martijn B.J. et al.
2021 ACM/IEEE International Conference on Model Driven Engineering Languages and Systems Companion, MODELS-C 2021. Institute of Electrical and Electronics Engineers, 2021. blz. 380-389 9643623.

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/Congresprocedure › Conferentiebijdrage › Academic › peer review

TY - GEN

T1 - From Prose to Prototype

T2 - 24th International Conference on Model-Driven Engineering Languages and Systems, MODELS-C 2021

AU - Ramackers, Guus J.

AU - Griffioen, Pepijn P.

AU - Schouten, Martijn B.J.

AU - Chaudron, Michel R.V.

PY - 2021/12/20

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N2 - This paper presents a vision for a development tool that provides automated support for synthesising UML models from requirements text expressed in natural language. This approach aims to simplify the process of analysis - i.e. moving from written (and spoken) descriptions of the functionality of a system and a domain to an executable specification of that system. The contribution focuses on the AI techniques used to transform natural language into structural and dynamic UML models. Moreover, we envision a 'human-in-the-loop' approach where an interactive conversational component is used based on machine learning of the system under construction and corpora of external natural language texts and UML models. To illustrate the approach, we present a tool prototype. As a scoping, this approach targets data-intensive systems rather than control-intensive (embedded) systems.

AB - This paper presents a vision for a development tool that provides automated support for synthesising UML models from requirements text expressed in natural language. This approach aims to simplify the process of analysis - i.e. moving from written (and spoken) descriptions of the functionality of a system and a domain to an executable specification of that system. The contribution focuses on the AI techniques used to transform natural language into structural and dynamic UML models. Moreover, we envision a 'human-in-the-loop' approach where an interactive conversational component is used based on machine learning of the system under construction and corpora of external natural language texts and UML models. To illustrate the approach, we present a tool prototype. As a scoping, this approach targets data-intensive systems rather than control-intensive (embedded) systems.

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KW - MDA

KW - model driven engineering

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KW - transformer architecture

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Ramackers GJ, Griffioen PP, Schouten MBJ, Chaudron MRV. From Prose to Prototype: Synthesising Executable UML Models from Natural Language. In 2021 ACM/IEEE International Conference on Model Driven Engineering Languages and Systems Companion, MODELS-C 2021. Institute of Electrical and Electronics Engineers. 2021. blz. 380-389. 9643623 doi: 10.1109/MODELS-C53483.2021.00061

From Prose to Prototype: Synthesising Executable UML Models from Natural Language

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