Proto-ML: An IDE for ML Solution Prototyping

TL;DR

Proto-ML is an integrated IDE that enhances machine learning prototyping by supporting collaboration, knowledge reuse, and structured documentation, thereby improving efficiency and transparency in ML solution development.

Contribution

The paper introduces Proto-ML, a novel IDE with extension bundles that unify prototyping, analysis, and knowledge management for ML workflows.

Findings

Increased prototyping efficiency based on user feedback.

Enhanced stakeholder involvement in ML development.

Improved knowledge sharing across projects.

Abstract

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.