Human Factors in Model-Driven Engineering: Future Research Goals and Initiatives for MDE

TL;DR

This paper emphasizes the importance of human factors in Model-Driven Engineering, highlighting recent discussions and proposing future research directions to make MDE more human-centered and inclusive.

Contribution

It provides a comprehensive overview of human factors in MDE, identifies key research topics, and formulates future research goals and questions to advance human-aware MDE.

Findings

Identified five key topics in human factors for MDE

Proposed research goals and questions for future work

Highlighted the need for diversity and inclusion in MDE

Abstract

Purpose: Software modelling and Model-Driven Engineering (MDE) is traditionally studied from a technical perspective. However, one of the core motivations behind the use of software models is inherently human-centred. Models aim to enable practitioners to communicate about software designs, make software understandable, or make software easier to write through domain-specific modelling languages. Several recent studies challenge the idea that these aims can always be reached and indicate that human factors play a role in the success of MDE. However, there is an under-representation of research focusing on human factors in modelling. Methods: During a GI-Dagstuhl seminar, topics related to human factors in modelling were discussed by 26 expert participants from research and industry. Results: In breakout groups, five topics were covered in depth, namely modelling human aspects, factors of modeller experience, diversity and inclusion in MDE, collaboration and MDE, and teaching human-aware MDE. Conclusion: We summarise our insights gained during the discussions on the five topics. We formulate research goals, questions, and propositions that support directing future initiatives towards an MDE community that is aware of and supportive of human factors and values.