Building Domain-Specific Machine Learning Workflows: A Conceptual Framework for the State of the Practice
ACM Transactions on Software Engineering and Methodology, 2024. [All Versions]. Domain experts are increasingly employing machine learning to solve their domain-specific problems. This article presents to software engineering researchers the six key challenges that a domain…
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Domain-Specific Modeling Languages: Requirements Analysis and Design Guidelines link.springer.com
Domain Engineering: Product Lines, Languages, and Conceptual Models, 2013. [All Versions]. In recent years, the development of domain-specific modeling languages has gained remarkable attention. This is for good reasons. A domain-specific modeling language incorporates concepts…
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Managing Machine Learning Projects d1.awsstatic.com
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Software development best practices in a deep learning environment towardsdatascience.com
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ML Ops: Machine Learning as an engineered disciplined towardsdatascience.com
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How Domain Experts Use an Embedded DSL dl.acm.org
OOPSLA'23, 2023. [All Versions]. Programming tools are increasingly integral to research and analysis in myriad domains, including specialized areas with no formal relation to computer science. Embedded domain-specific languages (eDSLs) have the potential to serve these…
AGI & CoCoSci › Papers > Domain Specific Language > Design Theory: “ACM Transactions on Software Engineering and Methodology, 2024. [All Versions]. Domain experts are increasingly employing machine learning to solve their domain-specific problems. This article presents to software engineering researchers the six key challenges that a domain…”