arXiv Artificial Intelligence

Towards Standardized Evaluation in Automated Domain Modeling: Introducing a Benchmark

Towards Standardized Evaluation in Automated Domain Modeling: Introducing a Benchmark

Quick summary

arXiv:2608.15255v1 Announce Type: new Abstract: Domain modeling plays an essential role in domain-driven design, capturing essential entities and their relationships within a specific domain. Despite advancements in automated domain modeling, the absence of standardized benchmarks has hindered the comparative assessment of existing approaches. This paper introduces a benchmark designed to address this gap. The benchmark combines the 45-record Golden UML Modelset (Verbruggen et al., 2025) on Zenodo, as distributed by the Text2UML project of Calamo, Mecella, and Snoeck (Calamo et al., 2025), wit

Key takeaways

  • arXiv:2608.15255v1 Announce Type: new Abstract: Domain modeling plays an essential role in domain-driven design, capturing essential entities and their relationships within a specific domain.
  • Despite advancements in automated domain modeling, the absence of standardized benchmarks has hindered the comparative assessment of existing approaches.
  • This paper introduces a benchmark designed to address this gap.

Why it matters

“Towards Standardized Evaluation in Automated Domain Modeling: Introducing a Benchmark” highlights the need for repeatable measurement rather than a single impressive demonstration. Independent validation across datasets and clearly stated limitations determine whether a result can guide product decisions.

Kaynak sitede devamını oku: arXiv Artificial Intelligence ↗