extended-abstract

Automated, traceable, and interactive domain modelling

Author:

Rijul SainiAuthors Info & Claims

MODELS '22: Proceedings of the 25th International Conference on Model Driven Engineering Languages and Systems: Companion Proceedings

Pages 217 - 220

https://doi.org/10.1145/3550356.3552372

Published: 09 November 2022 Publication History

Abstract

In domain modelling, practitioners manually extract analyzable and more concise domain models from problem descriptions which express requirements in natural language. With automated domain modelling support using existing approaches, some challenges remain unaddressed - inadequate accuracy of extracted models, no support for traceability of modelling decisions, and no facility for system-modeller interactions. To address these challenges and better support practitioners, we present our bot-assisted solution. Furthermore, we evaluate the effectiveness of our solution and find promising results which warrant further research in this direction.

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Cited By

Asaad C(2023)Towards Leveraging Artificial Intelligence for NoSQL Data Modeling, Querying and Quality Characterization2023 ACM/IEEE International Conference on Model Driven Engineering Languages and Systems Companion (MODELS-C)10.1109/MODELS-C59198.2023.00047(192-198)Online publication date: 1-Oct-2023
https://doi.org/10.1109/MODELS-C59198.2023.00047

Index Terms

Automated, traceable, and interactive domain modelling
1. Computing methodologies
  1. Artificial intelligence
    1. Natural language processing
      1. Information extraction
  2. Machine learning
2. Software and its engineering
  1. Software creation and management
    1. Designing software
      1. Requirements analysis

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Published In

cover image ACM Conferences

MODELS '22: Proceedings of the 25th International Conference on Model Driven Engineering Languages and Systems: Companion Proceedings

October 2022

1003 pages

ISBN:9781450394673

DOI:10.1145/3550356

Conference Chairs:
Thomas Kühn
Karlsruhe Institute of Technology, Germany
,
Vasco Sousa
University of Montréal, Canada

Copyright © 2022 Owner/Author.

Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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SIGSOFT: ACM Special Interest Group on Software Engineering

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Univ. of Montreal: University of Montreal
IEEE CS

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Association for Computing Machinery

New York, NY, United States

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Published: 09 November 2022

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MODELS '22

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SIGSOFT

MODELS '22: ACM/IEEE 25th International Conference on Model Driven Engineering Languages and Systems

October 23 - 28, 2022

Quebec, Montreal, Canada

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Overall Acceptance Rate 144 of 506 submissions, 28%

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Cited By

Asaad C(2023)Towards Leveraging Artificial Intelligence for NoSQL Data Modeling, Querying and Quality Characterization2023 ACM/IEEE International Conference on Model Driven Engineering Languages and Systems Companion (MODELS-C)10.1109/MODELS-C59198.2023.00047(192-198)Online publication date: 1-Oct-2023
https://doi.org/10.1109/MODELS-C59198.2023.00047

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