Scholarlink

In this paper, the author presents an overview of the latest updates of the IEEE Computer Society’s Guide to the Software Engineering Body of Knowledge (SWEBOK Guide), including a new AI and Software Engineering (SE) topic. The paper explores SE for AI, particularly machine learning (ML) SE, focusing on SE patterns and a framework evaluating AI engineering projects named the “AI engineering continuum,” which consists of dimensions including quality, layer, computing, automation, and process. Furthermore, based on it, the paper introduces a multi-view modeling framework for ML systems, integrating ML design patterns and MLOps pipelines to address the probabilistic nature and experimental development of ML.

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Machine Learning Software Engineering Based on Multi-view Modeling with Patterns and MLOps

  • 会议论文

  • 发表日期：

    2025年

查看全文
  • Hironori Washizaki

摘要

In this paper, the author presents an overview of the latest updates of the IEEE Computer Society’s Guide to the Software Engineering Body of Knowledge (SWEBOK Guide), including a new AI and Software Engineering (SE) topic. The paper explores SE for AI, particularly machine learning (ML) SE, focusing on SE patterns and a framework evaluating AI engineering projects named the “AI engineering continuum,” which consists of dimensions including quality, layer, computing, automation, and process. Furthermore, based on it, the paper introduces a multi-view modeling framework for ML systems, integrating ML design patterns and MLOps pipelines to address the probabilistic nature and experimental development of ML.