research-article

Worst Practices for Domain-Specific Modeling

Authors:

Steven Kelly,

Risto PohjonenAuthors Info & Claims

IEEE Software, Volume 26, Issue 4

Pages 22 - 29

https://doi.org/10.1109/MS.2009.109

Published: 01 July 2009 Publication History

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Abstract

Interest in creating domain-specific modeling (DSM) languages is surging, but little guidance is available on how to do it right. Along with heeding best practices, learning what not to do—including how to handle common pitfalls and recognize troublesome areas—can help first-time developers. The authors have identified several worst practices based on an analysis of 76 DSM cases spanning 15 years, four continents, several tools, around 100 language creators, and projects with from three to more than 300 modelers. They present these worst practices in the order that language developers would encounter them over the life of a project.

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Mora Segura Áde Lara JWimmer M(2024)Modelling assistants based on information reuse: a user evaluation for language engineeringSoftware and Systems Modeling (SoSyM)10.1007/s10270-023-01094-523:1(57-84)Online publication date: 1-Feb-2024
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Kovacic ISchuetz CNeumayr BSchrefl M(2022)OLAP PatternsData & Knowledge Engineering10.1016/j.datak.2021.101948138:COnline publication date: 12-May-2022
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Gómez AMendialdua XBarmpis KBergmann GCabot Jde Carlos XDebreceni CGarmendia AKolovos Dde Lara J(2020)Scalable modeling technologies in the wild: an experience report on wind turbines control applications developmentSoftware and Systems Modeling (SoSyM)10.1007/s10270-020-00776-819:5(1229-1261)Online publication date: 1-Sep-2020
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Published In

IEEE Software Volume 26, Issue 4

July 2009

92 pages

ISSN:0740-7459

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Publisher

IEEE Computer Society Press

Washington, DC, United States

Publication History

Published: 01 July 2009

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Mora Segura Áde Lara JWimmer M(2024)Modelling assistants based on information reuse: a user evaluation for language engineeringSoftware and Systems Modeling (SoSyM)10.1007/s10270-023-01094-523:1(57-84)Online publication date: 1-Feb-2024
https://dl.acm.org/doi/10.1007/s10270-023-01094-5
Kovacic ISchuetz CNeumayr BSchrefl M(2022)OLAP PatternsData & Knowledge Engineering10.1016/j.datak.2021.101948138:COnline publication date: 12-May-2022
https://dl.acm.org/doi/10.1016/j.datak.2021.101948
Gómez AMendialdua XBarmpis KBergmann GCabot Jde Carlos XDebreceni CGarmendia AKolovos Dde Lara J(2020)Scalable modeling technologies in the wild: an experience report on wind turbines control applications developmentSoftware and Systems Modeling (SoSyM)10.1007/s10270-020-00776-819:5(1229-1261)Online publication date: 1-Sep-2020
https://dl.acm.org/doi/10.1007/s10270-020-00776-8
Zhu MWang A(2019)Model-driven Game DevelopmentACM Computing Surveys10.1145/336500052:6(1-32)Online publication date: 14-Nov-2019
https://dl.acm.org/doi/10.1145/3365000
Tolvanen JKelly S(2019)How Domain-Specific Modeling Languages Address Variability in Product Line DevelopmentProceedings of the 23rd International Systems and Software Product Line Conference - Volume A10.1145/3336294.3336316(155-163)Online publication date: 9-Sep-2019
https://dl.acm.org/doi/10.1145/3336294.3336316
López-Fernández JGarmendia AGuerra ELara J(2019)An example is worth a thousand wordsSoftware and Systems Modeling (SoSyM)10.1007/s10270-017-0632-718:2(961-993)Online publication date: 1-Apr-2019
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Bousse EMayerhofer TCombemale BBaudry B(2019)Advanced and efficient execution trace management for executable domain-specific modeling languagesSoftware and Systems Modeling (SoSyM)10.1007/s10270-017-0598-518:1(385-421)Online publication date: 1-Feb-2019
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Kelly STolvanen J(2018)Collaborative creation and versioning of modeling languages with MetaEdit+Proceedings of the 21st ACM/IEEE International Conference on Model Driven Engineering Languages and Systems: Companion Proceedings10.1145/3270112.3270132(37-41)Online publication date: 14-Oct-2018
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Barii AAmaral VGoulo M(2018)Usability driven DSL development with USE-MEComputer Languages, Systems and Structures10.1016/j.cl.2017.06.00551:C(118-157)Online publication date: 1-Jan-2018
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Brambilla MCabot JCánovas Izquierdo JMauri ACombemale BMernik MRumpe B(2017)Better call the crowd: using crowdsourcing to shape the notation of domain-specific languagesProceedings of the 10th ACM SIGPLAN International Conference on Software Language Engineering10.1145/3136014.3136033(129-138)Online publication date: 23-Oct-2017
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Using free modeling as an agile method for developing domain specific modeling languages

Declaratively defining domain-specific language debuggers

Testing domain-specific languages

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