Digital repository of Slovenian research organisations

Show document
A+ | A- | Help | SLO | ENG

Title:DEXiWare : a software development framework for building cooperative decision support systems
Authors:ID Blažica, Bojan, Institut "Jožef Stefan" (Author)
ID Kuzmanovski, Vladimir, Institut "Jožef Stefan" (Author)
ID Bohanec, Marko, Institut "Jožef Stefan" (Author)
ID Dergan, Tanja, Institut "Jožef Stefan" (Author)
ID Ivanovska, Aneta, Institut "Jožef Stefan" (Author)
ID Marinko, Jurij, Institut "Jožef Stefan" (Author)
ID Modic, Robert, Institut "Jožef Stefan" (Author)
ID Ogrinc, Matevž, Institut "Jožef Stefan" (Author)
ID Debeljak, Marko, Institut "Jožef Stefan" (Author)
Files:URL URL - Source URL, visit https://www.sciencedirect.com/science/article/pii/S2352711026000257
 
.pdf PDF - Presentation file, download (1,64 MB)
MD5: 86911B03921387A152EB308D65E509E2
 
Language:English
Typology:1.01 - Original Scientific Article
Organization:Logo IJS - Jožef Stefan Institute
Abstract:The development of decision support systems (DSS) for agriculture increasingly relies on complex decision models, yet transforming such models into operational, user-friendly software remains challenging. DEXiWare is a software framework designed to support the development of web-based, cooperative DSS based on decision models built with the DEX (Decision EXpert) method. The framework provides a standardized workflow for operationalizing decision models, including automated model import, data handling, assessment, and scenario analysis, within a reusable backend–frontend architecture. DEXiWare integrates backend services, a web-based user interface, and a decision engine supporting top-down (goal-seeking) and bottom-up (what-if) scenario exploration. The framework is evaluated through its application in multiple agricultural DSS and through usability testing with stakeholders, demonstrating its applicability for translating qualitative decision models into operational decision support tools for sustainability assessment in agricultural production systems.
Publication status:Published
Publication version:Version of Record
Submitted for review:04.11.2025
Article acceptance date:18.01.2026
Publication date:22.01.2026
Publisher:Elsevier
Year of publishing:2026
Number of pages:str. 1-6
Numbering:Vol. 33
Source:Nizozemska
PID:20.500.12556/DiRROS-27001 New window
UDC:004
ISSN on article:2352-7110
DOI:10.1016/j.softx.2026.102531 New window
COBISS.SI-ID:266439427 New window
Copyright:© 2026 The Authors.
Note:Nasl. z nasl. zaslona; Opis vira z dne 28. 1. 2026;
Publication date in DiRROS:28.01.2026
Views:184
Downloads:94
Metadata:XML DC-XML DC-RDF
:
Copy citation
  
Share:Bookmark and Share


Hover the mouse pointer over a document title to show the abstract or click on the title to get all document metadata.

Record is a part of a journal

Title:SoftwareX
Publisher:Elsevier B.V.
ISSN:2352-7110
COBISS.SI-ID:526120473 New window

Document is financed by a project

Funder:EC - European Commission
Project number:727929
Name:A NOVEL AND INTEGRATED APPROACH TO INCREASE MULTIPLE AND COMBINED STRESS TOLERANCE IN PLANTS USING TOMATO AS A MODEL
Acronym:TomRes

Funder:EC - European Commission
Project number:727973
Name:Transition paths to sustainable legume based systems in Europe
Acronym:TRUE

Funder:EC - European Commission
Project number:101135512
Name:Valorising and balancing the ecosystem service benefits offered by legumes, and legume-based cropped systems
Acronym:LegumES

Funder:EC - European Commission
Project number:101000622
Name:ReAlising DynamIc vAlue chaiNs for underuTilised crops
Acronym:RADIANT

Funder:ARIS - Slovenian Research and Innovation Agency
Project number:P2-0103-2022
Name:Tehnologije znanja

Funder:ARIS - Slovenian Research and Innovation Agency
Project number:P2-0098-2019
Name:Računalniške strukture in sistemi

Licences

License:CC BY 4.0, Creative Commons Attribution 4.0 International
Link:http://creativecommons.org/licenses/by/4.0/
Description:This is the standard Creative Commons license that gives others maximum freedom to do what they want with the work as long as they credit the author.
Licensing start date:22.01.2026
Applies to:VoR

Secondary language

Language:Slovenian
Keywords:decision support system, decision making, DEX, DSS architecture, aplikacije, uporabniška izkušnja, sistemi, odločanje


Back