Text Processing Techniques in Approaches for Automated Composition of Domain Models

Viktorija Gribermane, Erika Nazaruka

2021

Abstract

Text processing techniques are critical for automated analysis of domain documentation. Proper domain analysis may include analysis of a huge number of documents that may describe business procedures, policies, organizational structures, regulations, etc., as well as minutes of discussions with domain experts. The results of analysis are also presented as documents with or without supporting graphics, e.g., domain models. Automated composition of domain models (including software models) should decrease the time necessary for analysis and would provide traceability to the original documentation. The goal of this research is to understand how text processing techniques can be applied for composition of those models and what are the current trends in this field. The result of analysis of 15 approaches showed that Natural Language Processing features are just the starting point in document processing. The main difficulty is proper analysis of dependencies among words in sentences and among sentences themselves. The obtained results indicate two directions in identification of patterns of those dependencies and a complete diversity in their applications.

Paper Citation

in Harvard Style

Gribermane V. and Nazaruka E. (2021). Text Processing Techniques in Approaches for Automated Composition of Domain Models. In Proceedings of the 16th International Conference on Evaluation of Novel Approaches to Software Engineering - Volume 1: MDI4SE, ISBN 978-989-758-508-1, pages 489-500. DOI: 10.5220/0010533904890500

in Bibtex Style

@conference{mdi4se21,
author={Viktorija Gribermane and Erika Nazaruka},
title={Text Processing Techniques in Approaches for Automated Composition of Domain Models},
booktitle={Proceedings of the 16th International Conference on Evaluation of Novel Approaches to Software Engineering - Volume 1: MDI4SE,},
year={2021},
pages={489-500},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010533904890500},
isbn={978-989-758-508-1},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 16th International Conference on Evaluation of Novel Approaches to Software Engineering - Volume 1: MDI4SE,
TI - Text Processing Techniques in Approaches for Automated Composition of Domain Models
SN - 978-989-758-508-1
AU - Gribermane V.
AU - Nazaruka E.
PY - 2021
SP - 489
EP - 500
DO - 10.5220/0010533904890500