# Protocol for a Systematic Mapping Study on Collaborative Model-Driven Software Engineering

arXiv: https://arxiv.org/abs/1611.02619 · HTML: https://mlsanity.com/paper/1611.02619/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 8 Nov 2016.

## Built on by (most cited first, 1 of 1)

- [Unsupervised Key-phrase Extraction and Clustering for Classification Scheme in Scientific Publications](https://mlsanity.com/paper/2101.09990/) (2021)

## Abstract (arXiv)

Nowadays, collaborative modeling performed by multiple stakeholders is gaining a growing interest in both academia and practice. However, it poses a set of research challenges, such as large and complex models management, support for multi-user modeling environments, and synchronization mechanisms like models migration and merging, conflicts management, models versioning and rollback support. A body of knowledge in the scientific literature about collaborative model-driven software engineering (MDSE) exists. Still, those studies are scattered across different independent research areas, such as software engineering, model-driven engineering languages and systems, model integrated computing, etc., and a study classifying and comparing the various approaches and methods for collaborative MDSE is still missing. Under this perspective, a systematic mapping study (SMS) can help researchers and practitioners in (i) having a complete, comprehensive and valid picture of the state of the art about collaborative MDSE, and (ii) identifying potential gaps in current research and future research directions.