Jev in the Wild: A Data-Driven Analysis of the Jev Model's Functionality, Applications and Ecosystem
[Inżynieria oprogramowania] Autorzy: Guoming Ling, Muen Xue, Zijian Ye
Jev is a fast, low-cost decision model that answers natural-language questions with choices, binary judgments, and scores. As its public ecosystem grows rapidly, it remains unclear how Jev is used across applications and how public attention relates to project distribution. To answer these questions, we conduct a large-scale, data-driven analysis of 2,170 publicly available Jev projects collected from GitHub as of September 22, 2026. We find rapid early growth in Jev's public ecosystem, with both new projects and integration into existing repositories. Across diverse domains, projects use Jev for multiple decision purposes and combine its interfaces. Attribute judgment and scoring are widely used, while the use of action selection, content filtering, and model and tool selection varies across domains. These patterns suggest that Jev serves as a reusable decision component whose function…
- Kategoria arxiv
- cs.SE
- Kategoria
- Inżynieria oprogramowania