Proto-ML：一种用于机器学习解决方案原型设计的IDE
Proto-ML: An IDE for ML Solution Prototyping
AI总结：
Proto-ML是一种专为提升机器学习解决方案原型设计效率而设计的集成开发环境，通过统一框架促进知识共享与协作。
摘要：
原型设计在机器学习（ML）解决方案的开发中起着关键作用，但现有工具往往在促进利益相关者之间的有效协作和知识重用方面支持有限。本文介绍了Proto-ML，一种旨在加强ML原型设计工作流程的IDE。通过解决关键缺陷，如利益相关者参与不足、跨项目知识重用有限以及工具支持碎片化，Proto-ML提供了一个统一的框架，使原型设计活动的结构化文档成为可能，并促进跨项目的知识共享。Proto-ML IDE由三个扩展包组成：原型实现、分析和知识管理。这些扩展支持从评估原型质量 against 定义的准则到在整个开发过程中融入利益相关者视角等任务。初步用户反馈表明，Proto-ML可以提高原型设计效率，并促进更透明和可重用的ML解决方案开发。
英文摘要：
Prototyping plays a critical role in the development of machine learning (ML) solutions, yet existing tools often provide limited support for effective collaboration and knowledge reuse among stakeholders. This paper introduces Proto-ML, an IDE designed to strengthen ML prototyping workflows. By addressing key deficiencies such as insufficient stakeholder involvement, limited cross-project knowledge reuse, and fragmented tool support, Proto-ML offers a unified framework that enables structured documentation of prototyping activities and promotes knowledge sharing across projects. The Proto-ML IDE consists of three extension bundles: prototype implementation, analysis, and knowledge management. These extensions support tasks ranging from evaluating prototype quality against defined criteria to incorporating stakeholder perspectives throughout the development process. Preliminary user feedback suggests that Proto-ML can increase prototyping efficiency and foster more transparent and reusable ML solution development.
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。
