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

2 citations · 2 across the 5 of their papers we have counts for

collaborators

8 papers

physics.ao-ph2026

Statistical Noise and Missing Forcing Limit Estimates of Earth's Feedback from Prescribed Sea-Surface Temperature Simulations

Gergana Gyuleva, Reto Knutti, Robin Noyelle +3

Earth's feedback parameter measures how the Earth system responds to forcing and is inversely proportional to climate sensitivity. Sea-surface temperature (SST) patterns can modula…

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

How Requirements Quality Makes (or Breaks) Traceability Link Recovery

Tobias Hey, Julian Frattini

Traceability information between requirements and source code greatly benefits the maintenance of a software system. Since manually establishing trace links is cumbersome and error…

cs.SE20262 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.SE2026

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…