most citedA Research Roadmap for Augmenting Software Engineering Processes and Software Products with Generative AI

8 citations · 14 across the 6 of their papers we have counts for

collaborators

7 papers

cs.SE2026

The ARDoCo Tool Landscape: REST API, TraceView, and TraceViz for Architecture Traceability

Jan Keim, Dominik Fuchß, Sophie Corallo +3

Context and Problem. Software development produces interrelated artifacts like software architecture documentation (SAD), software architecture models (SAMs), and source code, whos…

cs.SE2026

The EVerest Dataset for Secure Software Engineering

Sophie Corallo, Debora Grupp, Dominik Fuchß +4

End-to-end security verification, from requirements through architecture to code, requires datasets that span all three artifact types with fine-grained security labels. No existin…

cs.SE2026

From Scattered to Structured: A Vision for Automating Architectural Knowledge Management

Jan Keim, Angelika Kaplan

Software architecture is inherently knowledge-centric. The architectural knowledge is distributed across heterogeneous software artifacts such as requirements documents, design dia…

cs.SE2025★ 3 cited

Who's Who? LLM-assisted Software Traceability with Architecture Entity Recognition

Dominik Fuchß, Haoyu Liu, Sophie Corallo +4

Identifying architecturally relevant entities in textual artifacts is crucial for Traceability Link Recovery (TLR) between Software Architecture Documentation (SAD) and source code…

cs.SE2025★ 8 cited

A Research Roadmap for Augmenting Software Engineering Processes and Software Products with Generative AI

Domenico Amalfitano, Andreas Metzger, Marco Autili +8

Generative AI (GenAI) is rapidly transforming software engineering (SE) practices, influencing how SE processes are executed, as well as how software systems are developed, operate…

cs.SE2025

A Roadmap for Tamed Interactions with Large Language Models

Vincenzo Scotti, Jan Keim, Tobias Hey +3

Large Language Models (LLMs) are increasingly embedded in software systems ( GenAIware), enabling new forms of automation and interaction However, their probabilistic nature and re…

cs.SE2025★ 3 cited

Software Architecture Meets LLMs: A Systematic Literature Review

Larissa Schmid, Tobias Hey, Martin Armbruster +5

Large Language Models (LLMs) are used for many different software engineering tasks. In software architecture, they have been applied to tasks such as classification of design deci…