Proto-ML: An IDE for ML Solution Prototyping
Fuente:
arXiv
Enregistré dans:
| Auteurs principaux: | , , |
|---|---|
| Format: | Preprint |
| Publié: |
2026
|
| Sujets: | |
| Accès en ligne: | |
| Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
| _version_ | 1866911467486314496 |
|---|---|
| author | Coban, Selin Perez, Miguel Lichter, Horst |
| author_facet | Coban, Selin Perez, Miguel Lichter, Horst |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2602_21734 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | Proto-ML: An IDE for ML Solution Prototyping Coban, Selin Perez, Miguel Lichter, Horst Software Engineering 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. |
| title | Proto-ML: An IDE for ML Solution Prototyping |
| topic | Software Engineering |
| url | https://arxiv.org/abs/2602.21734 |