59 citations · 60 across the 3 of their papers we have counts for
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cs.SE2024
Evaluation of large language models for assessing code maintainability
Marc Dillmann, Julien Siebert, Adam Trendowicz
Increased availability of open-source software repositories and recent advances in code analysis using large language models (LLMs) has triggered a wave of new work to automate sof…
cs.SE2022★ 1 cited
Challenges related to system-of-systems for greening and climate adaptation in smart cities
Sarah Brandt, Julien Siebert
This paper presents the results of interviews conducted as part of the DYNASOS project. The objective was to collect challenges related to the design, implementation and management…
cs.SE2020★ 59 cited
Towards Guidelines for Assessing Qualities of Machine Learning Systems
Julien Siebert, Lisa Joeckel, Jens Heidrich +5
Nowadays, systems containing components based on machine learning (ML) methods are becoming more widespread. In order to ensure the intended behavior of a software system, there ar…