Inconsistency management in heterogeneous models - an approach for the identification of model dependencies and potential inconsistencies

In today's engineering projects, interdisciplinary work leads to an increase in interfaces between different departments and domains. As each stakeholder pursues different goals and tasks, a hetero-geneous model landscape is required. In each domain, a variety of different model and software im-plementation provide the essential basis for efficient work. On the interfaces, the risk of model incon-sistencies increases. To handle occurring inconsistencies, various approaches have been presented. For model-based systems engineering projects, rule-based methods are considered as the most suitable technique. However, said approaches require a high manual effort in identifying model dependencies and establishing consistency rules. Unfortunately, in particular these steps are not well described and supported. Additionally, current literature does not address the previous identification of potentially inconsistent models. Therefore, this paper presents an easily applicable approach for the identification of model dependencies in interdisciplinary projects. The method is supported by a software implemen-tation and is directly integrated in engineering workflows. A first industrial case study has shown positive effects of the approach and revealed further research goals.     «

In today's engineering projects, interdisciplinary work leads to an increase in interfaces between different departments and domains. As each stakeholder pursues different goals and tasks, a hetero-geneous model landscape is required. In each domain, a variety of different model and software im-plementation provide the essential basis for efficient work. On the interfaces, the risk of model incon-sistencies increases. To handle occurring inconsistencies, various approaches have been presented. F...     »