2012/09/25 by Adrian Kuhn, Kuhn, Adrian, Gail C. Murphy +1 · 1 citation
Business, Management and Accounting · Computer Science · #Business Process Modeling and Analysis #FOS: Computer and information sciences #Model-Driven Software Engineering Techniques #Software Engineering (cs.SE) #Software Engineering Techniques and Practices
paper · pdf · doi:10.48550/arxiv.1209.5800
openalex publication_date 2012/09/25 · openalex created_date 2022/09/04 · openalex updated_date 2026/07/28
In a recent empirical study we found that evaluating abstractions of\nModel-Driven Engineering (MDE) is not as straight forward as it might seem. In\nthis paper, we report on the challenges that we as researchers faced when we\nconducted the aforementioned field study. In our study we found that modeling\nhappens within a complex ecosystem of different people working in different\nroles. An empirical evaluation should thus mind the ecosystem, that is, focus\non both technical and human factors. In the following, we present and discuss\nfive lessons learnt from our recent work.\n