Determining the Quality of Product Data Integration

Abstract. To meet customer demands, companies must manage numerous variants and versions of their products. Since product-related data (e.g., requirements’ specifications, geometric models, and source code, or test cases) are usually scattered over a large number of heterogeneous, autonomous information systems, their integration becomes crucial when developing complex products on one hand and aiming at reduced development costs on the other. In general, product data are created in different stages of the product development process. Furthermore, they should be integrated in a complete and consistent way at certain milestones during process development (e.g., prototype construction). Usually, this data integration process is accomplished manually, which is both costly and error prone. Instead semi-automated product data integration is required meeting the data quality requirements of the various stages during product development. In turn, this necessitates a close monitoring of the...

• Type: Journal
• Year: 2015
• Where: OTM
• Authors: Julian Tiedeken, Thomas Bauer, Joachim Herbst, Manfred Reichert
• Keywords: Internet Technology, OTM 2015