Automated Microservice Pattern Instance Detection Using Infrastructure-as-Code Artifacts and Large Language Models
📰 ArXiv cs.AI
Automated detection of microservice pattern instances using infrastructure-as-code artifacts and large language models
Action Steps
- Analyze infrastructure-as-code artifacts to extract relevant information
- Utilize large language models to identify microservice pattern instances
- Integrate detected pattern instances into software architecture documentation
- Continuously monitor and update documentation to prevent knowledge vaporization
Who Needs to Know This
Software engineers and architects on a team can benefit from this approach to detect and document microservice pattern instances, improving architecture knowledge preservation and reducing knowledge vaporization
Key Insight
💡 Large language models can be used to automatically detect microservice pattern instances from infrastructure-as-code artifacts
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🤖 Automate microservice pattern detection with IaC artifacts & LLMs!
Key Takeaways
Automated detection of microservice pattern instances using infrastructure-as-code artifacts and large language models
Full Article
Title: Automated Microservice Pattern Instance Detection Using Infrastructure-as-Code Artifacts and Large Language Models
Abstract:
arXiv:2502.04188v1 Announce Type: cross Abstract: Documenting software architecture is essential to preserve architecture knowledge, even though it is frequently costly. Architecture pattern instances, including microservice pattern instances, provide important structural software information. Practitioners should document this information to prevent knowledge vaporization. However, architecture patterns may not be detectable by analyzing source code artifacts, requiring the analysis of other ty
Abstract:
arXiv:2502.04188v1 Announce Type: cross Abstract: Documenting software architecture is essential to preserve architecture knowledge, even though it is frequently costly. Architecture pattern instances, including microservice pattern instances, provide important structural software information. Practitioners should document this information to prevent knowledge vaporization. However, architecture patterns may not be detectable by analyzing source code artifacts, requiring the analysis of other ty
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