AutoDSL: Automated domain-specific language design for structural representation of procedures with constraints
Yu-Zhe Shi, Haofei Hou, Zhangqian Bi, Fanxu Meng, Xiang Wei, Lecheng, Ruan, Qining Wang

TL;DR
AutoDSL automates the design of domain-specific languages for representing procedural constraints, reducing manual effort and enhancing procedural planning across multiple scientific domains.
Contribution
The paper introduces AutoDSL, a framework that automates the creation of DSLs for constraints, leveraging domain-specific corpora to optimize syntax and semantics.
Findings
AutoDSL effectively designs DSLs across five domains.
Automated DSLs improve procedural planning and execution.
AutoDSL reduces manual effort in DSL creation.
Abstract
Accurate representation of procedures in restricted scenarios, such as non-standardized scientific experiments, requires precise depiction of constraints. Unfortunately, Domain-specific Language (DSL), as an effective tool to express constraints structurally, often requires case-by-case hand-crafting, necessitating customized, labor-intensive efforts. To overcome this challenge, we introduce the AutoDSL framework to automate DSL-based constraint design across various domains. Utilizing domain specified experimental protocol corpora, AutoDSL optimizes syntactic constraints and abstracts semantic constraints. Quantitative and qualitative analyses of the DSLs designed by AutoDSL across five distinct domains highlight its potential as an auxiliary module for language models, aiming to improve procedural planning and execution.
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Taxonomy
TopicsModel-Driven Software Engineering Techniques · Business Process Modeling and Analysis · Semantic Web and Ontologies
