Evaluations

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Rahmanian, Mojdeh

Description

This research examines the use of LLMs for evaluating UML class diagrams, focusing on rule granularity and prompt-based assessment.

Citations (0)

Mentions (0)

Metrics

Dataset Index

0.5

FAIR Score

85%

Citations

0

Mentions

0

Metrics Over Time

Publication Details

DOI

Publisher

figshare

License

Creative Commons Attribution 4.0 International

Assigned Domain

Subfield

Artificial Intelligence

Field

Computer Science

Domain

Physical Sciences

Confidence Score

55%

Source

Scholar Data Model

Keywords

Empirical software engineeringSoftware quality, processes and metrics

Normalization Factors

FT

57.69

CTw

1.00

MTw

1.00