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A Novel Model-driven Framework for the Development of Web-based Geographical Information Systems

  • Zara Hayat
  • , Farooque Azam*
  • , Muhammad Waseem Anwar
  • , Yawar Rasheed
  • *Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

Abstract

Web-based Geographical Information Systems (Web-GIS) aim to store, analyze, and disseminate geospatial information, enabling effective decision-making. However, their development requires professional expertise and incurs high development costs, resulting in resource limitations for many organizations in developing their own GIS. To address these challenges, we propose a Geo-Location System (GLS) Framework with a Model-driven approach that will ease the developers to automatically develop their customized Web-GIS using Google Maps API. The framework incorporates a GLS meta-model encompassing essential concepts for Web-GIS development and proposes two novel features using OCL constraints to enhance the framework's capabilities. The framework also includes a customized tree editor and a graphical modeling tool that allows the easy modeling and visualization of any complex Web-GIS. Moreover, the framework provides an Acceleo transformation engine that automatically transforms models into executable Web code. The resulting source code is browser-ready without manual modifications. The proposed framework is validated with a real-world case study which demonstrates its effectiveness in reducing the overall development complexity, cost, and time.

Original languageEnglish
Title of host publicationProceedings of the 13th International Conference on Software Technology and Engineering, ICSTE 2023
Place of PublicationPiscataway, NJ
PublisherIEEE
Pages26-30
Number of pages5
ISBN (Electronic)979-8-3503-7147-5
ISBN (Print)979-8-3503-7148-2
DOIs
Publication statusPublished - 27 Dec 2023
Externally publishedYes
Event13th International Conference on Software Technology and Engineering, ICSTE 2023 - Virtual, Osaka, Japan
Duration: 27 Oct 202329 Oct 2023
Conference number: 13
https://www.icste.org/icste2023.html

Publication series

NameProceedings of the International Conference on Software Technology and Engineering (ICSTE)
PublisherIEEE
Volume2023

Conference

Conference13th International Conference on Software Technology and Engineering, ICSTE 2023
Abbreviated titleICSTE 2023
Country/TerritoryJapan
CityOsaka
Period27/10/2329/10/23
Internet address

Keywords

  • n/a OA procedure
  • Model Driven Architecture
  • Model Driven Software Engineering
  • Model to Text Transformation
  • Unified Modeling Language
  • Web-based Geographical Information Systems
  • Geographical Information Systems

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