A framework for evaluating the quality of modelling languages in MDE environments A framework for evaluating the quality of modelling languages in MDE environments

Velásquez, Giraldo; Danilo, Faber

doi:10.4995/thesis/10251/90628

Cited by 1 publication

(1 citation statement)

References 137 publications

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“…The work in 40,56 shows a framework to evaluate the ontological quality of a set of languages. This is translated into measuring to what extent the set of languages complies with principles and guidelines intended to facilitate their reuse within an MDE project.…”

Section: Background and Motivationmentioning

confidence: 99%

AMINO: A quality assessment framework for modeling ecosystems

Di Ruscio,

Iovino,

Pierantonio

2023

J Software Evolu Process

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SummaryModels are core assets in Model‐Driven Engineering (MDE). They are pervasively used throughout software development processes to leverage automation, increase cost‐effectiveness, and enhance quality factors. Model repositories have been successfully proposed to enforce reuse and elicit correlations among modeling artifacts, enabling storing operations on model‐based artifacts and collaborative modeling features. Maintaining and improving the quality of modeling artifacts is mandatory for software quality scale‐ups. Limiting the exploration of datasets and repositories of models to individual artifacts might reduce the ability to capture insights and reuse opportunities. This paper proposes AMINO, an analytics tool for model repositories supporting the discovery and quality evaluation of modeling ecosystems.

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Section: Background and Motivationmentioning

confidence: 99%