Pith. sign in

REVIEW 1 cited by

Automation in Model-Driven Engineering: A look back, and ahead

Not yet reviewed by Pith; the record is open.

This paper has not been read by Pith yet. Machine review is queued; the pith claim, tier, and objections will appear here once it completes.

SPECIMEN: schema-true, not a live event

T0 review · schema-true

One-sentence machine reading of the paper's core claim.

pith:XXXXXXXX · record.json · timestamp

arxiv 2405.18539 v2 pith:2IFOFGJX submitted 2024-05-28 cs.SE

classification cs.SE
keywords automationengineeringdedicatedhugeimprovedmodel-drivenactivitiesahead
verification ladder T0 review T1 audit T2 compute T3 formal
0 comments
read the original abstract

Model-Driven Engineering (MDE) provides a huge body of knowledge of automation for many different engineering tasks, especially those involving transitioning from design to implementation. With the huge progress made in Artificial Intelligence (AI), questions arise about the future of MDE, such as how existing MDE techniques and technologies can be improved or how other activities that currently lack dedicated support can also be automated. However, at the same time, it has to be revisited where and how models should be used to keep the engineers in the loop for creating, operating, and maintaining complex systems. To trigger dedicated research on these open points, we discuss the history of automation in MDE and present perspectives on how automation in MDE can be further improved and which obstacles have to be overcome in both the medium and long-term.

Discussion (0). Continue with ORCID to comment.

Forward citations

Cited by 1 Pith paper

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. OpenAlex reports about 3 citations worldwide. Full citation record

  1. Vibe Modeling: Challenges and Opportunities

    cs.SE 2025-07 conditional novelty 5.0 of 10

    Vibe modeling proposes using LLM-driven agents to create software models rather than code, then generating the final software with deterministic model-to-code tools.

Pith tools