Platform Design for Software Product Lines of Data-intensive Systems

Abstract

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.

Implementing Model-Based Data Structures using Transient Model Extensions

“…Because changes to the model are transparent to the persistent data structures only small changes are needed in the configuration of data displaying widgets. The TME method is also an important part of our approach for implementing a model based software product line for data-intensive systems [23].…”

Comparative analysis of variability modelling approaches in component models

“…The selected approaches are listed with respect to the name of the component model in alphabetical order. Seventeen of them are specific approaches dedicated to only one model, while six of them [36][37][38][39][40][41] are generic approaches. Papers [39,41] offer model-independent approaches in which OSGi is used as an enabler for implementation.…”