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Data persistency is a fundamental, but complex aspect of a modern software development process. Therefore, in order to reduce development costs and improve a system's quality, support for data persistency must be provided to common software paradigms, such as object-oriented programming or component based development. In this paper we present a new approach of an object persistency cachethe Entity Container (EC), based on a data model. The EC allows data and metadata management according to a data model independent of any specific persistency mechanism. We present the complete architecture, functionality and implementation of the system and compare our new approach with existing frameworks in order to point out features and major improvements of the EC.

Software product line engineering promises rapid, feature oriented development of similar products in a particular domain by reusing core artifacts. Commonalities and variabilities of individual products are obtained by domain analysis and described in feature models. According to the feature model, reusable core assets or artifacts need to be designed and implemented to be assembled in particular products.In this paper we present a platform supporting product line development of data-intensive systems, based on the concepts of component based and model-driven development. Data-intensive systems are ofen built in several layers (e.g. database, business logic, user interface), so we have applied the methodology of product line engineering to each layer to find artifacts, describe their characteristics and dependencies. Mappings are defined between features and artifacts in order to assemble dflerent products from these reusable artifacts. Model-based strategies to tackle cross-cutting of variabilities -arising especially from data model variabilities -are presented.

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