Darko Etinger

Prof. Dr. Darko Etinger

Faculty of Informatics, Juraj Dobrila University of Pula, Pula, Istarska Županija, Croatia
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Research Focus & Metrics

Academic Career Length

10Years (2017-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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25 February 2026 in Applied Sciences
Verified
Journal Article
Open access
PDF file
JLJosip Tomo Licardo
Josip Tomo Licardo
NTNikola Tankovic
Nikola Tankovic
Darko EtingerDarko Etinger
Darko Etinger
This paper presents BPMN Assistant, a tool that leverages Large Language Models for natural language-based creation and editing of BPMN diagrams. While direct XML generation is common, it is verbose, slow, and prone to syntax errors during complex modifications. We introduce a specialized JSON-based intermediate representation designed to facilitate atomic editing operations through function calling. We evaluate our approach against direct XML manipulation using a suite of state-of-the-art models, including GPT-5.1, Claude 4.5 Sonnet, and DeepSeek V3. Results demonstrate that the JSON-based approach significantly outperforms direct XML in editing tasks, achieving higher or equivalent success rates across all evaluated models. Conformance checking evaluation confirms that generated models preserve executable semantics, with JSON achieving an average F1 score of 0.72 compared to 0.69 for XML, though frontier models like GPT-5.1 and Claude 4.5 Sonnet demonstrated superior precision with direct XML generation. Furthermore, despite requiring more input context, our approach reduces generation latency by approximately 43% and output token count by over 75%, offering a more reliable and responsive solution for interactive process modeling.

28 September 2020
Verified
Conference Paper
Closed access
SSSrdan Daniel Simic
Srdan Daniel Simic
RSRobert Sajina
Robert Sajina
NTNikola Tankovic
Nikola Tankovic
Darko EtingerDarko Etinger
Darko Etinger


24 July 2019 in Universal Access in the Information Society
Verified
Journal Article
Closed access
PDF file
Tihomir OrehovačkiTihomir Orehovački
Tihomir Orehovački
Darko EtingerDarko Etinger
Darko Etinger
SBSnježana Babić
Snježana Babić

6 September 2024 in IEEE Engineering Management Review
Verified
Journal Article
Open access
Katarina KostelicKatarina Kostelic
Katarina Kostelic
Darko EtingerDarko Etinger
Darko Etinger
As an emergent virtual shared environment, the metaverse offers a novel approach to digital communication. However, its rapid expansion and development raise complex cybersecurity challenges. To address this issue, the goal of this paper is to map the scholarly contributions of cybersecurity within the metaverse through a comprehensive bibliometric analysis and examine trends, gaps, and future research directions. Following the PRISMA guidelines, a broad range of documents is included in the analysis, and a bibliometric software package was used for science mapping. The results reveal a significant increase in publications and citations in recent years, with contributors from across the globe. The analysis of keywords and abstracts reveals core themes and citation analysis identifies the most prominent sources and articles. The thematic analysis identifies the existing and emerging areas of research that remain to be explored in future studies.