Discovery the Quality of UML Models Through an Exploration of Dataset in Practice

Doan, Khanh-Hoang; Nguyen, The-Loc; Tran, Mai-Huong

doi:10.1007/978-3-031-15063-0_17

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2023

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“…In 46 implemented a quality evaluation approach discovering the typical design smells and quality issues of UML models. We reported in gray the checkmarks since it is not completely clear from the description in the paper if the tool supports also visualization and it is extensible.…”

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%