Grischa Liebel, Jil Klünder, Regina Hebig, Christopher Lazik, Inês Nunes, Isabella Graßl, Jan-Philipp Steghöfer, Joeri Exelmans, Julian Oertel, Kai Marquardt, Katharina Juhnke, Kurt Schneider, Lucas Gren, Lucia Happe, Marc Herrmann, Marvin Wyrich, Matthias Tichy, Miguel Goulão, Rebekka Wohlrab, Reyhaneh Kalantari, Robert Heinrich, Sandra Greiner, Satrio Adi Rukmono, Shalini Chakraborty, Silvia Abrahão, Vasco Amaral
{"title":"Human factors in model-driven engineering: future research goals and initiatives for MDE","authors":"Grischa Liebel, Jil Klünder, Regina Hebig, Christopher Lazik, Inês Nunes, Isabella Graßl, Jan-Philipp Steghöfer, Joeri Exelmans, Julian Oertel, Kai Marquardt, Katharina Juhnke, Kurt Schneider, Lucas Gren, Lucia Happe, Marc Herrmann, Marvin Wyrich, Matthias Tichy, Miguel Goulão, Rebekka Wohlrab, Reyhaneh Kalantari, Robert Heinrich, Sandra Greiner, Satrio Adi Rukmono, Shalini Chakraborty, Silvia Abrahão, Vasco Amaral","doi":"10.1007/s10270-024-01188-8","DOIUrl":null,"url":null,"abstract":"<p>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. During a GI-Dagstuhl seminar, topics related to human factors in modelling were discussed by 26 expert participants from research and industry. 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. 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.</p>","PeriodicalId":49507,"journal":{"name":"Software and Systems Modeling","volume":"33 1","pages":""},"PeriodicalIF":2.0000,"publicationDate":"2024-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Software and Systems Modeling","FirstCategoryId":"94","ListUrlMain":"https://doi.org/10.1007/s10270-024-01188-8","RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"COMPUTER SCIENCE, SOFTWARE ENGINEERING","Score":null,"Total":0}
引用次数: 0
Abstract
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. During a GI-Dagstuhl seminar, topics related to human factors in modelling were discussed by 26 expert participants from research and industry. 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. 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.
期刊介绍:
We invite authors to submit papers that discuss and analyze research challenges and experiences pertaining to software and system modeling languages, techniques, tools, practices and other facets. The following are some of the topic areas that are of special interest, but the journal publishes on a wide range of software and systems modeling concerns:
Domain-specific models and modeling standards;
Model-based testing techniques;
Model-based simulation techniques;
Formal syntax and semantics of modeling languages such as the UML;
Rigorous model-based analysis;
Model composition, refinement and transformation;
Software Language Engineering;
Modeling Languages in Science and Engineering;
Language Adaptation and Composition;
Metamodeling techniques;
Measuring quality of models and languages;
Ontological approaches to model engineering;
Generating test and code artifacts from models;
Model synthesis;
Methodology;
Model development tool environments;
Modeling Cyberphysical Systems;
Data intensive modeling;
Derivation of explicit models from data;
Case studies and experience reports with significant modeling lessons learned;
Comparative analyses of modeling languages and techniques;
Scientific assessment of modeling practices