Skip to main content
European Commission logo print header

Configuration in Industrial Product Families

Deliverables

During the project three PHD theses related to “Enhancements for the structure-based configuration technology” were carried out - Representation and processing of diagnoses and configuration knowledge", Lothar Hotz This thesis elaborates on representation facilities needed for modelling diagnosis and configuration knowledge and their use for inference tasks, dependency analysis and distributed processing. - Procedural knowledge for user-centred configuration", Katharina Wolter This thesis describes conceptual models that are suitable for supporting the user s mental model of the configuration process, and explores procedural mechanisms and user interactions for decision transfer and change operations during explorative configuration. - “Evolution of configuration models", Thorsten Krebs This thesis explores techniques for changing and evolving configuration models and existing configurations without losing desired properties like correct and consistent configurations.
The ConIPF methodology provides a new way for knowledge-based product derivation in the context of software product families. It addresses software-engineers that deal with the complexity of huge amounts of highly variable and interdependent software and hardware components through the methods of knowledge-based configuration. The ConIPF methodology is presented in two parts. Part I presents the activities of the engineer that develops individual products (application engineer) while reusing those components. ConIPF supports the application engineer with automated derivation performed by the underlying tool chain. Part II presents the activities of the engineer(domain engineer) that designs and implements the infrastructure used by the application engineer. ConIPF builds a configuration model reflecting the asset store and keeps it synchronised with the assets. To our knowledge the ConIPF methodology represents the most comprehensive integration of software product-line engineering and knowledge-based configuration technologies available to date. Furthermore, the ConIPF methodology is highly relevant for product derivation in the future. It addresses a rich set of different scenarios and roles and structures the product derivation process in applicable parts. Application engineering is therefore accelerated by additionally deriving correct and complete products. The ConIPF methodology will be published as a book.

Searching for OpenAIRE data...

There was an error trying to search data from OpenAIRE

No results available