模型库中模型演化的主动质量指导
Proactive Quality Guidance for Model Evolution in Model Libraries
摘要：
模型库中的模型演化不同于一般的模型演化。它将范围限制在可管理的范围内，并允许制定明确的概念，方法，解决方案和方法。在不断发展的模型库的模型质量，我们专注于质量的可重用性相关的问题。在本文中，我们提出了我们的模型库中的模型演化的主动质量指导方法。它使用与轻量级质量模型、相应的度量和简化的审查相关联的编辑时评估。所有这些都有助于通过质量门来引导模型的演化，从而促进模型的可重用性。
英文摘要：
Model evolution in model libraries differs from general model evolution. It limits the scope to the manageable and allows to develop clear concepts, approaches, solutions, and methodologies. Looking at model quality in evolving model libraries, we focus on quality concerns related to reusability. In this paper, we put forward our proactive quality guidance approach for model evolution in model libraries. It uses an editing-time assessment linked to a lightweight quality model, corresponding metrics, and simplified reviews. All of which help to guide model evolution by means of quality gates fostering model reusability.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
