I research and engineer sustainable software systems — from efficient web applications to resource-aware AIwareAIWare is software that integrates artificial intelligence capabilities to analyze data, automate tasks, support decision-making, and adapt to users’ needs. — that reduce costs without compromising quality.
Together with nine Tyrolean companies, including Pfeifer, hollu, TINETZ, and ADLER, we explored AI fundamentals, prompt engineering, AI agents, MCP, and innovation management. The workshops resulted in practical n8n prototypes and real-world AI applications.
RAGnaroX (AIS) presents a secure, locally hosted ChatOps assistant using small language models, hybrid retrieval, and function calling for efficient on-premise AI support.
My talk focused on how AI supports everyday motorsport club operations, balancing real-world benefits with essential guidance on data privacy, reliability, and transparency
Together with Maximilian Ehrhart, I hosted the GENIUS plenary meeting in Tyrol, bringing together international partners to discuss AI research advances, industry collaboration, and future directions in generative AI and software engineering.
The paper "Retrieval-Augmented Generation in Industry: An Interview Study on Use Cases, Requirements, Challenges, and Evaluation" received an Honorable Mention for the Best Paper Award at KDIR 2025.
A GENIUS collaboration with CASABLANCA hotelsoftware, the University of Innsbruck, and c.c.com Moser GmbH showed that smaller language models can deliver comparable results in RAG-based information retrieval, while reducing costs by around 75%.
The AIware 2025 paper presents a combined vision of industry and academia for the future use of generative AI across the software development life cycle.
arXiv:cs.SE
Transforming Privacy Artifacts into Accessible Reports for Non-Technical Stakeholders
arXiv:cs.SE
RESTestBench: A Benchmark for Evaluating the Effectiveness of LLM-Generated REST API Test Cases from NL Requirements
arXiv:cs.AR
RAGnaroX: A Secure, Local-Hosted ChatOps Assistant Using Small Language Models
arXiv:cs.IR
RAG-DIVE: A Dynamic Approach for Multi-Turn Dialogue Evaluation in Retrieval-Augmented Generation
arXiv:cs.SE
RESTifAI: LLM-Based Workflow for Reusable REST API Testing
2025 2nd IEEE/ACM International Conference on AI-powered Software (AIware)
The Future of Generative AI in Software Engineering: A Vision From Industry and Academia in the European Genius Project
Advances in Intelligent Systems and Computing
SmartDelta Methodology: Automated Quality Assurance and Optimization for Incremental System Engineering
Proceedings of the 17th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management
Retrieval-Augmented Generation in Industry: An Interview Study on Use Cases, Requirements, Challenges, and Evaluation
2024 50th Euromicro Conference on Software Engineering and Advanced Applications (SEAA)
How Industry Tackles Anomalies during Runtime: Approaches and Key Monitoring Parameters
Lecture Notes in Computer Science
Web Image Formats: Assessment of Their Real-World-Usage and Performance Across Popular Web Browsers
Lecture Notes in Computer Science
On the Role of Font Formats in Building Efficient Web Applications
Microprocessors and Microsystems
SmartDelta project: Automated quality assurance and optimization across product versions and variants
2023 IEEE/ACM 10th International Conference on Mobile Software Engineering and Systems (MOBILESoft)
Energy-Saving Strategies for Mobile Web Apps and their Measurement: Results from a Decade of Research
arXiv:cs.SE
SoHist: A Tool for Managing Technical Debt through Retro Perspective Code Analysis
SmartDelta was an international ITEA project advancing automated quality assurance for incremental software engineering. It developed tool-supported mechanisms to assess product deltas in continuous engineering environments, combining artifacts and runtime data to detect quality improvements and risks. Consortium: 34 partners across 9 countries including Alstom, Software AG, Akkodis, Kuveyt Türk Bank, and Vaadin.
GENIUS is an international ITEA project shaping the next generation of generative-AI-enabled software engineering. It investigates how LLMs and AI engineering assistants can be integrated across the SDLC — from requirements and code generation to testing, documentation, and quality analysis. Consortium: 32 partners across 9 countries including c.c.com, CASABLANCA hotelsoftware, British Telecom, and Siemens.
KI2Industrie is an FFG-funded qualification initiative strengthening the practical AI capabilities of companies in Western Austria. It establishes a modular continuing-education programme covering AI transformation, ML, LLMs, the EU AI Act, and industrial AI transfer. Consortium partners include Pfeifer Holding GmbH, VAHLE AUTOMATION GmbH, and TINETZ-Tiroler Netze GmbH.
benedikt.dornauer@outlook.at
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