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20232026
most citedHow Industry Tackles Anomalies during Runtime: Approaches and Key Monitoring Parameters

5 citations · 15 across the 10 of their papers we have counts for

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7 papers · 1 filter

cs.SE2026

Transforming Privacy Artifacts into Accessible Reports for Non-Technical Stakeholders

Zoe Pfister, Clemens Sauerwein, Benedikt Dornauer +4

The transition toward Industry 5.0 is reshaping industrial work environments with an emphasis on human-centricity, enabling close collaboration between humans and machines to enhan…

cs.SE2026

RESTestBench: A Benchmark for Evaluating the Effectiveness of LLM-Generated REST API Test Cases from NL Requirements

Leon Kogler, Stefan Hangler, Maximilian Ehrhart +3

Existing REST API testing tools are typically evaluated using code coverage and crash-based fault metrics. However, recent LLM-based approaches increasingly generate tests from NL…

cs.SE2025

RESTifAI: LLM-Based Workflow for Reusable REST API Testing

Leon Kogler, Maximilian Ehrhart, Benedikt Dornauer +1

With this paper, we introduce RESTifAI, an LLM-driven approach for generating reusable, CI/CD ready REST API tests, following the happy-path approach. Unlike existing tools that of…

cs.SE2025

The Future of Generative AI in Software Engineering: A Vision from Industry and Academia in the European GENIUS Project

Robin Gröpler, Steffen Klepke, Jack Johns +12

Generative AI (GenAI) has recently emerged as a groundbreaking force in Software Engineering, capable of generating code, identifying bugs, recommending fixes, and supporting quali…

cs.SE2024★ 5 cited

How Industry Tackles Anomalies during Runtime: Approaches and Key Monitoring Parameters

Monika Steidl, Benedikt Dornauer, Michael Felderer +3

Deviations from expected behavior during runtime, known as anomalies, have become more common due to the systems' complexity, especially for microservices. Consequently, analyzing…

cs.SE2023★ 3 cited

SoHist: A Tool for Managing Technical Debt through Retro Perspective Code Analysis

Benedikt Dornauer, Michael Felderer, Johannes Weinzerl +2

Technical debt is often the result of Short Run decisions made during code development, which can lead to long-term maintenance costs and risks. Hence, evaluating the progression o…