sle2022/vision2

SLE 2022 vision paper:
Neural Language Models and Few Shot Learning for Systematic Requirements Processing in MDSE

Vincent Bertram, Miriam Boß, Evgeny Kusmenko, Imke Helene Nachmann, Bernhard Rumpe, Danilo Trotta, Louis Wachtmeister

• DOI: 10.1145/3567512.3567534
• T4G: AI-for-SLE
  • The paper applies large language models and few-shot learning to SLE problems (requirements to DSL).
• T5A: Requirements
  • Its concrete task is processing and structuring natural-language requirements.
• T3C: DSLs
  • It translates requirements into a structured DSL form and studies DSL-based formulations.
• T5E: Empirical Evaluation
  • It reports an experimental evaluation of translation quality under different few-shot settings.

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