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

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

7 Citations (Scopus)

32 Downloads (Pure)

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.

Original language	English
Title of host publication	2021 ACM/IEEE International Conference on Model Driven Engineering Languages and Systems Companion, MODELS-C 2021
Publisher	Institute of Electrical and Electronics Engineers
Pages	380-389
Number of pages	10
ISBN (Electronic)	978-1-6654-2484-4
DOIs	https://doi.org/10.1109/MODELS-C53483.2021.00061
Publication status	Published - 20 Dec 2021
Event	24th International Conference on Model-Driven Engineering Languages and Systems, MODELS-C 2021 - Virtual, Online, Japan Duration: 10 Oct 2021 → 15 Oct 2021

Conference

Conference	24th International Conference on Model-Driven Engineering Languages and Systems, MODELS-C 2021
Country/Territory	Japan
City	Virtual, Online
Period	10/10/21 → 15/10/21

Keywords

executable specification
MDA
model driven engineering
natural language processing
requirement text
transformer architecture
UML

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10.1109/MODELS-C53483.2021.00061

pdfFinal published version, 700 KBLicence: TAVERNE

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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 (pp. 380-389). Article 9643623 Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/MODELS-C53483.2021.00061

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

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note = "24th International Conference on Model-Driven Engineering Languages and Systems, MODELS-C 2021 ; Conference date: 10-10-2021 Through 15-10-2021",

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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, pp. 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. p. 380-389 9643623.

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

TY - GEN

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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.

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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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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. p. 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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