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BESSER: A Python-based low-modeling low-code platform for smart software

integration_instructionsResearch softwarekeyboard_double_arrow_right Software 12 May 2026Publisher:Zenodo
Authors: Alfonso, Iván; Sulejmani, Armen; Ul-Haq, Fitash; Conrardy, Aaron; Cabot, Jordi; Nirumand, Atefeh; Gomez-Vazquez, Marcos; +1 Authors
Code repository: https://github.com/BESSER-PEARL/BESSER/tree/v7.8.1

doi: 10.5281/zenodo.20486389 , 10.5281/zenodo.20490299 , 10.5281/zenodo.20134249 , 10.5281/zenodo.20311239 , 10.5281/zenodo.20541766 , 10.5281/zenodo.20134250

BESSER: A Python-based low-modeling low-code platform for smart software

Abstract

BESSER (Building bEtter Smart Software fastER) is a low-modeling low-code open-source platform.

If you use this software, please cite it using the metadata from this file.

Keywords

Low-code platform, Smart software, Language modeling, Model-driven engineering

  • BIP!
    Impact byBIP!
    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).
    		 0
    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.
    		 Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    		 Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    		 Average
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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!
0
Average
Average
Average