1 citations · 1 across the 6 of their papers we have counts for
7 papers
Reflections on the Reproducibility of Commercial LLM Performance in Empirical Software Engineering Studies
Florian Angermeir, Maximilian Amougou, Mark Kreitz +6
Large Language Models have gained remarkable interest in industry and academia. The increasing interest in LLMs in academia is also reflected in the number of publications on this…
Privacy by Design: Aligning GDPR and Software Engineering Specifications with a Requirements Engineering Approach
Oleksandr Kosenkov, Ehsan Zabardast, Davide Fucci +2
Context: Consistent requirements and system specifications are essential for the compliance of software systems towards the General Data Protection Regulation (GDPR). Both artefact…
Policy-driven Software Bill of Materials on GitHub: An Empirical Study
Oleksii Novikov, Davide Fucci, Oleksandr Adamov +1
Background. The Software Bill of Materials (SBOM) is a machine-readable list of all the software dependencies included in a software. SBOM emerged as way to assist securing the sof…
ThreMoLIA: Threat Modeling of Large Language Model-Integrated Applications
Felix Viktor Jedrzejewski, Davide Fucci, Oleksandr Adamov
Large Language Models (LLMs) are currently being integrated into industrial software applications to help users perform more complex tasks in less time. However, these LLM-Integrat…
Replications, Revisions, and Reanalyses: Managing Variance Theories in Software Engineering
Julian Frattini, Jannik Fischbach, Davide Fucci +2
Variance theories quantify the variance that one or more independent variables cause in a dependent variable. In software engineering (SE), variance theories are used to quantify -…
Systematic Mapping Study on Requirements Engineering for Regulatory Compliance of Software Systems
Oleksandr Kosenkov, Parisa Elahidoost, Tony Gorschek +5
Context: As the diversity and complexity of regulations affecting Software-Intensive Products and Services (SIPS) is increasing, software engineers need to address the growing regu…