NLP-based Auto Generation of Graph Database from Textual Requirements

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F25%3AQXIYG9KW" target="_blank" >RIV/00216208:11320/25:QXIYG9KW - isvavai.cz</a>

Výsledek na webu

<a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85205759011&doi=10.1109%2fCONECCT62155.2024.10677144&partnerID=40&md5=c9405c40dc97f6ab2e9e9230f8825401" target="_blank" >https://www.scopus.com/inward/record.uri?eid=2-s2.0-85205759011&doi=10.1109%2fCONECCT62155.2024.10677144&partnerID=40&md5=c9405c40dc97f6ab2e9e9230f8825401</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/CONECCT62155.2024.10677144" target="_blank" >10.1109/CONECCT62155.2024.10677144</a>

Jazyk výsledku

angličtina

Název v původním jazyce

NLP-based Auto Generation of Graph Database from Textual Requirements

Popis výsledku v původním jazyce

Natural Language (NL) continues to be the preferred medium of expression for requirements, especially for multi-disciplinary systems such as the Flight Control System (FCS) of an Aircraft. The importance of a precise and unambiguous understanding of requirements for the project's success is established beyond question. This aspect is further amplified in the case of a safety-critical system such as FCS. UML diagrams from use case to activity to sequence diagrams are used to understand and analyze the requirements. While these diagrams have immense value, Graph Databases add new benefits for analyzing and managing requirements. Graph databases are gaining popularity due to their simplicity, scalability, and benefits of visualization. In this paper, we propose an NLP-based method for auto-generating a graph database for textual requirements. We explore the benefits of representing requirements as a graph database that complements the other diagrams and fills a few gaps, specifically in requirements allocation, identification of interdependencies, and change management. Though we use the Neo4j graph database management system and Cypher query language, the concepts are generic. The proposed approach for auto-generation works on requirements expressed in the EARS (Easy Approach to RequirementsSyntax) template. However, it can be extended for other templates or free-flowing text. © 2024 IEEE.

Název v anglickém jazyce

NLP-based Auto Generation of Graph Database from Textual Requirements

Popis výsledku anglicky

Natural Language (NL) continues to be the preferred medium of expression for requirements, especially for multi-disciplinary systems such as the Flight Control System (FCS) of an Aircraft. The importance of a precise and unambiguous understanding of requirements for the project's success is established beyond question. This aspect is further amplified in the case of a safety-critical system such as FCS. UML diagrams from use case to activity to sequence diagrams are used to understand and analyze the requirements. While these diagrams have immense value, Graph Databases add new benefits for analyzing and managing requirements. Graph databases are gaining popularity due to their simplicity, scalability, and benefits of visualization. In this paper, we propose an NLP-based method for auto-generating a graph database for textual requirements. We explore the benefits of representing requirements as a graph database that complements the other diagrams and fills a few gaps, specifically in requirements allocation, identification of interdependencies, and change management. Though we use the Neo4j graph database management system and Cypher query language, the concepts are generic. The proposed approach for auto-generation works on requirements expressed in the EARS (Easy Approach to RequirementsSyntax) template. However, it can be extended for other templates or free-flowing text. © 2024 IEEE.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

—

Návaznosti

—

Rok uplatnění

2024

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

Proc. CONECCT - IEEE Int. Conf. Electron., Comput. Commun. Technol.

ISBN

979-835038592-2

ISSN

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e-ISSN

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Počet stran výsledku

6

Strana od-do

1-6

Název nakladatele

Institute of Electrical and Electronics Engineers Inc.

Místo vydání

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Místo konání akce

Bangalore

Datum konání akce

1. 1. 2025

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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