This paper proposes an LLM-based composition approach, which enables to derive the maturity level of a RESTful service from its OpenAPI specification based on the Richarson’s maturity model. This approach evaluation showcases that the maturity level derivation accuracy reaches a high level while the multiple improvement suggestions supplied by the approach can enable software engineers to increase the quality of both the service itself and its OpenAPI specification as well as have the potential to elevate the service’s maturity level.

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Towards Composing LLMs to Derive the Maturity Level of RESTful Services

  • Antonios Smardas,
  • Kyriakos Kritikos

摘要

This paper proposes an LLM-based composition approach, which enables to derive the maturity level of a RESTful service from its OpenAPI specification based on the Richarson’s maturity model. This approach evaluation showcases that the maturity level derivation accuracy reaches a high level while the multiple improvement suggestions supplied by the approach can enable software engineers to increase the quality of both the service itself and its OpenAPI specification as well as have the potential to elevate the service’s maturity level.