Title :
Mapping data models of the standardized automotive testing data storage to the unified modeling language
Author_Institution :
Inst. of Commun. Eng., Cologne Univ. of Appl. Sci., Cologne, Germany
Abstract :
This paper describes an approach to combine standards specified for the automotive test data management with the widely used Unified Modeling Language (UML). The major challenges in the automotive test data management domain include coping with a huge amount of data produced, considering their long lifetime, and trying to re-use as much as possible of the already acquired knowledge. For this purpose the automotive standards organization ASAM (Association for Standardization of Automation and Measuring Systems) has specified a storage standard called Open Data Services (ODS), which allows users to design data models fitted to their specific needs while keeping general classification information for generic use. On the other hand, object oriented concepts have evolved in the software technology domain, and UML has emerged as the most important standard to specify software-based systems. Given the similarities between the goals of ODS and aspects of UML that describe the static parts of a software system, this paper proposes a mapping between these two technologies.
Keywords :
Unified Modeling Language; automotive engineering; data models; object-oriented methods; software reusability; storage management; testing; ASAM automotive standard organization; Association-for-Standardization-of-Automation-and-Measuring Systems; ODS storage standard; Open Data Services; UML; Unified Modeling Language; automotive test data management domain; classification information; data model mapping; design data models; object oriented concepts; software technology domain; software-based systems; standardized automotive testing data storage; Automotive engineering; Data models; Object oriented modeling; Semantics; Standards; Testing; Unified modeling language; ASAM; UML; automotive testing; data model; meta model; model mapping; standards;
Conference_Titel :
Industrial Technology (ICIT), 2013 IEEE International Conference on
Conference_Location :
Cape Town
Print_ISBN :
978-1-4673-4567-5
Electronic_ISBN :
978-1-4673-4568-2
DOI :
10.1109/ICIT.2013.6505865