Lessons Learned from Evaluating MDE Abstractions in an Industry Case Study
This addresses the problem of effectively evaluating MDE abstractions for researchers and practitioners in software engineering, but it is incremental as it builds on prior empirical studies.
The paper tackled the challenge of evaluating Model-Driven Engineering (MDE) abstractions in an industry case study, finding that it is not straightforward due to the complex ecosystem involving technical and human factors, and it presents five lessons learned from this empirical work.
In a recent empirical study we found that evaluating abstractions of Model-Driven Engineering (MDE) is not as straight forward as it might seem. In this paper, we report on the challenges that we as researchers faced when we conducted the aforementioned field study. In our study we found that modeling happens within a complex ecosystem of different people working in different roles. An empirical evaluation should thus mind the ecosystem, that is, focus on both technical and human factors. In the following, we present and discuss five lessons learnt from our recent work.