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Systematic mapping study on domain-specific language development tools

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Abstract

Domain-specific languages (DSL) are programming or modeling languages devoted to a given application domain. There are many tools used to support the implementation of a DSL, making hard the decision-making process for one or another. In this sense, identifying and mapping their features is relevant for decision-making by academic and industrial initiative on DSL development. Objective: The goal of this work is to identify and map the tools, Language Workbenches (LW), or frameworks that were proposed to develop DSLs discussed and referenced in publications between 2012 and 2019. Method: A Systematic Mapping Study (SMS) of the literature scoping tools for DSL development. Results: We identified 59 tools, including 9 under a commercial license and 41 with non-commercial licenses, and analyzed their features from 230 papers. Conclusion: There is a substantial amount of tools that cover a large number of features. Furthermore, we observed that usually, the developer adopts one type of notation to implement the DSL: textual or graphical. We also discuss research gaps, such as a lack of tools that allow meta-meta model transformations and that support modeling tools interoperability.

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Notes

  1. An adapted feature model from (Erdweg et al. 2015) to remove duplicated features names.

  2. Compendex: www.engineeringvillage.com

  3. IEEE: www.ieeexplore.ieee.org

  4. ScienceDirect: www.sciencedirect.com

  5. ACM: https://dl.acm.org

  6. Scopus: www.scopus.com

  7. SpringerLink: www.link.springer.com

  8. The search strings are available at our online repository (Iung et al. 2020)

  9. Artifacts are available in our repository (Iung et al. 2020)

  10. We searched the tools on Google (www.google.com)

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Authors and Affiliations

  1. Federal University of Pampa (Unipampa), Av. Tiarajú, 97546-550, Alegrete, RS, Brazil

    Aníbal Iung, João Carbonell, Luciano Marchezan, Elder Rodrigues, Maicon Bernardino, Fabio Paulo Basso & Bruno Medeiros

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  1. Aníbal Iung
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  2. João Carbonell
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  3. Luciano Marchezan
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  4. Elder Rodrigues
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  5. Maicon Bernardino
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  6. Fabio Paulo Basso
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  7. Bruno Medeiros
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Correspondence to Aníbal Iung.

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Communicated by: Daniel Amyot

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Iung, A., Carbonell, J., Marchezan, L. et al. Systematic mapping study on domain-specific language development tools. Empir Software Eng 25, 4205–4249 (2020). https://doi.org/10.1007/s10664-020-09872-1

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