A conceptual framework reorganizes requirements engineering for pretrained-model-enabled systems into six activities, based on identified challenges of opaque capabilities, context sensitivity, and continuous evolution.
Status quo and problems of requirements engineering for machine learning: Results from an international survey,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
other 1
citation-polarity summary
fields
cs.SE 1years
2025 1verdicts
CONDITIONAL 1roles
other 1polarities
support 1representative citing papers
citing papers explorer
-
A Conceptual Framework for Requirements Engineering of Pretrained-Model-Enabled Systems
A conceptual framework reorganizes requirements engineering for pretrained-model-enabled systems into six activities, based on identified challenges of opaque capabilities, context sensitivity, and continuous evolution.