A Feature-based Classification of Model Repair Approaches

TL;DR

This paper introduces a feature-based classification system for model repair techniques in Model-driven Engineering, aiming to assist developers and practitioners in understanding and selecting appropriate inconsistency fixing methods.

Contribution

It presents a systematic review and a novel classification framework for model repair approaches in MDE, enhancing understanding of existing techniques.

Findings

Provides a structured classification of model repair techniques

Identifies key features used in different repair approaches

Aims to guide future research and practical application in MDE

Abstract

Consistency management, the ability to detect, diagnose and handle inconsistencies, is crucial during the development process in Model-driven Engineering (MDE). As the popularity and application scenarios of MDE expanded, a variety of different techniques were proposed to address these tasks in specific contexts. Of the various stages of consistency management, this work focuses on inconsistency fixing in MDE, where such task is embodied by model repair techniques. This paper proposes a feature-based classification system for model repair techniques, based on an systematic review of previously proposed approaches. We expect this work to assist both the developers of novel techniques and the MDE practitioners looking for suitable solutions.