59 citations · 159 across the 8 of their papers we have counts for
8 papers
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…
Badgers: generating data quality deficits with Python
Julien Siebert, Daniel Seifert, Patricia Kelbert +2
Generating context specific data quality deficits is necessary to experimentally assess data quality of data-driven (artificial intelligence (AI) or machine learning (ML)) applicat…
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…
Applications of statistical causal inference in software engineering
Julien Siebert
This paper reviews existing work in software engineering that applies statistical causal inference methods. These methods aim at estimating causal effects from observational data.…
Towards a Roadmap for Trustworthy Dynamic Systems-of-Systems
Rasmus Adler, Frank Elberzhager, Julien Siebert
This paper gives insights into the DynaSoS project, which aims to propose a cross-domain roadmap for systems engineering research into trustworthy dynamic systems-of-systems with a…
Software Engineering for AI-Based Systems: A Survey
Silverio Martínez-Fernández, Justus Bogner, Xavier Franch +5
AI-based systems are software systems with functionalities enabled by at least one AI component (e.g., for image- and speech-recognition, and autonomous driving). AI-based systems…
A systematic review of Python packages for time series analysis
Julien Siebert, Janek Groß, Christof Schroth
This paper presents a systematic review of Python packages with a focus on time series analysis. The objective is to provide (1) an overview of the different time series analysis t…
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…