Experiences with Teaching MPS in Industry: Towards Bringing Domain Specific Languages Closer to Practitioners

Ratiu, Daniel; Pech, Vaclav; Dummann, Kolja

doi:10.1109/models.2017.15

Cited by 3 publications

(1 citation statement)

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“…These tools allow specifying syntax, typing rules, and code generators for a language, and they output a tailored IDE with standard services such as syntax-aware editor, code completion, automatic code corrections, and others. Despite this fact, many of current language workbenches have a very steep learning curve even for experienced software professionals [8], and their adoption rate still leaves much to be desired. At the same time, a noticeable amount of domain modeling is done using "office software", such as word processors [9] and spreadsheet calculators [1].…”

Section: Introductionmentioning

confidence: 99%

Enabling language engineering for the masses

Barash

2020

Proceedings of the 23rd ACM/IEEE International Conference on Model Driven Engineering Languages and Systems: Companion Proceedi

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While language workbenches-tools to define software languages together with their IDEs-are yet to become ubiquitous in industry, a noticeable amount of domain modeling is still done using word processors and spreadsheet calculators. We suggest an approach to use a word processor to define (modeling) languages in example-driven way: a language is defined by giving examples of code written in it, which are then annotated to specify abstract syntax, formatting rules, dynamic semantics, and so on. Such a definition can be used to validate similar documents and to generate an API for processing models, or it can serve as a front-end and later be transformed to an (equivalent) definition in a language workbench. We discuss how a similar approach for language definition can be implemented in a form of a language workbench. CCS CONCEPTS • Software and its engineering → Context specific languages; Programming by example; Integrated and visual development environments; Syntax; • Applied computing → Annotation; Document management and text processing.

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Section: Introductionmentioning

confidence: 99%