TY - CHAP
T1 - Trends and Insights into the Use of Model-Driven Engineering
T2 - 2023 ACM/IEEE International Conference on Model Driven Engineering Languages and Systems, MODELS-C 2023
AU - Alfraihi, Hessa
AU - Lano, Kevin
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - Model-Driven Engineering (MDE) has gained popularity as a software engineering approach that promises to improve productivity and software quality. However, its adoption in practice remains limited, and challenges with MDE tools, notations, and methods have been reported. In this study, we conducted a survey to investigate the current usage and challenges of MDE in academia and industry. A total of 119 participants completed the survey, representing a diverse group of organizations and roles. Our findings indicate that while MDE is used in various domains, its adoption is still not widespread, with many participants reporting lack of knowledge and skills as a barrier. We also found that difficulties with MDE concern mainly tools and notations, while methods are less problematic. Our results suggest that the adoption of MDE could be facilitated by improving the appropriateness and flexibility of MDE tools and providing training and education to increase MDE knowledge and skills.
AB - Model-Driven Engineering (MDE) has gained popularity as a software engineering approach that promises to improve productivity and software quality. However, its adoption in practice remains limited, and challenges with MDE tools, notations, and methods have been reported. In this study, we conducted a survey to investigate the current usage and challenges of MDE in academia and industry. A total of 119 participants completed the survey, representing a diverse group of organizations and roles. Our findings indicate that while MDE is used in various domains, its adoption is still not widespread, with many participants reporting lack of knowledge and skills as a barrier. We also found that difficulties with MDE concern mainly tools and notations, while methods are less problematic. Our results suggest that the adoption of MDE could be facilitated by improving the appropriateness and flexibility of MDE tools and providing training and education to increase MDE knowledge and skills.
KW - model-driven engineering
KW - survey
KW - usability
UR - http://www.scopus.com/inward/record.url?scp=85182406313&partnerID=8YFLogxK
U2 - 10.1109/MODELS-C59198.2023.00058
DO - 10.1109/MODELS-C59198.2023.00058
M3 - Conference paper
AN - SCOPUS:85182406313
T3 - Proceedings - 2023 ACM/IEEE International Conference on Model Driven Engineering Languages and Systems Companion, MODELS-C 2023
SP - 286
EP - 295
BT - Proceedings - 2023 ACM/IEEE International Conference on Model Driven Engineering Languages and Systems Companion, MODELS-C 2023
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 1 October 2023 through 6 October 2023
ER -