Proactive Quality Guidance for Model Evolution in Model Libraries

TL;DR

This paper introduces a proactive quality guidance approach for evolving models in model libraries, focusing on reusability by using editing-time assessments, quality gates, and simplified reviews to ensure high-quality model evolution.

Contribution

It proposes a novel proactive quality guidance framework specifically designed for model evolution in model libraries, emphasizing reusability and quality assurance during editing.

Findings

Effective quality gates improve model reusability

Editing-time assessments facilitate early quality detection

Simplified reviews streamline the quality assurance process

Abstract

Model evolution in model libraries differs from general model evolution. It limits the scope to the manageable and allows to develop clear concepts, approaches, solutions, and methodologies. Looking at model quality in evolving model libraries, we focus on quality concerns related to reusability. In this paper, we put forward our proactive quality guidance approach for model evolution in model libraries. It uses an editing-time assessment linked to a lightweight quality model, corresponding metrics, and simplified reviews. All of which help to guide model evolution by means of quality gates fostering model reusability.