Evolution of a Stream Transformation DSL

R. Gad
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引用次数: 2

Abstract

In this paper, we present our experiences during the evolution of a stream transformation Domain Specific Language (DSL). We initially implemented and evolved the DSL in the scope of our work on stream-based computer network monitoring. However, the application domain is not limited to computer network monitoring. While our initial DSL focused on transforming raw byte-array stream data into Java data structures such as maps, we added support for more input and output formats over time. The initial motivation for the DSL was to improve maintainability, extendibility, and performance. During the development, we were confronted with changing and evolving use-cases and requirements, which impacted the evolution of the DSL. We, e.g., added dynamic capabilities, which can be used, e. g., for self-adaptive mechanisms. In our opinion, the separation of concerns introduced by a DSL-based approach helped to improve our development efficiency. We implemented our DSL using the Clojure programming language, which, in our opinion, offers excellent features for implementing a dynamic DSL. We published our implementations as Open Source Software.
流变换DSL的演化
在本文中,我们介绍了流转换领域特定语言(DSL)发展过程中的经验。我们最初在基于流的计算机网络监控的工作范围内实现并发展了DSL。然而,应用领域并不局限于计算机网络监控。虽然我们最初的DSL专注于将原始字节数组流数据转换为Java数据结构(如映射),但随着时间的推移,我们增加了对更多输入和输出格式的支持。DSL的最初动机是提高可维护性、可扩展性和性能。在开发过程中,我们面临着不断变化和发展的用例和需求,它们影响了DSL的发展。例如,我们增加了动态功能,可用于自适应机制等。在我们看来,基于dsl的方法所引入的关注点分离有助于提高我们的开发效率。我们使用Clojure编程语言实现了DSL,在我们看来,Clojure为实现动态DSL提供了出色的特性。我们将我们的实现作为开源软件发布。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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