Abstract
Model-Driven Engineering (MDE) has been promoted for many years as a means
for handling the complexity of software development by raising the abstraction level and
automating labor-intensive and error-prone tasks. However, there is little empirical evidence
of the acceptance of MDE in industry which is the subject of this paper. The goal of this
empirical study was to investigate the state of the practice of applying MDE and factors
considered as important for its adoption. The subjects were developers of four large
companies participating in a research project. The collected data came from multiple sources
and covered the results of tool evaluations, interviews, and a survey. Among the factors, we
found perceived usefulness, ease of use and the maturity of the tools to be important
determinants for the adoption of MDE. We also discuss challenges with adopting MDE
and present suggestions on how to succeed with the adoption process.
for handling the complexity of software development by raising the abstraction level and
automating labor-intensive and error-prone tasks. However, there is little empirical evidence
of the acceptance of MDE in industry which is the subject of this paper. The goal of this
empirical study was to investigate the state of the practice of applying MDE and factors
considered as important for its adoption. The subjects were developers of four large
companies participating in a research project. The collected data came from multiple sources
and covered the results of tool evaluations, interviews, and a survey. Among the factors, we
found perceived usefulness, ease of use and the maturity of the tools to be important
determinants for the adoption of MDE. We also discuss challenges with adopting MDE
and present suggestions on how to succeed with the adoption process.
