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Language Design with Intent

Authors: Vadim Zaytsev;

Language Design with Intent

Abstract

Software languages have always been an essential component of model-driven engineering. Their importance and popularity has been on the rise thanks to language workbenches, language-oriented development and other methodologies that enable us to quickly and easily create new languages specific for each domain. Unfortunately, language design is largely a form of art and has resisted most attempts to turn it into a form of science or engineering. In this paper we borrow concepts, techniques and principles from the domain of persuasive technology, or wider yet, design with intent --- which was developed as a way to influence users behaviour for social and environmental benefit. Similarly, we claim, software language designers can make conscious choices in order to influence the behaviour of language users. The paper describes a process of extracting design components from 24 books of eight categories (dragon books, parsing techniques, compiler construction, compiler design, language implementation, language documentation, programming languages, software languages), as well as from the original set of Design with Intent cards and papers on DSL design. The resulting language design card toolkit can be used by DSL designers to cover important design decisions and make them with more confidence.

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    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
4
Average
Average
Average
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