Managing Emerging Configuration Dependencies in Multi Product Lines

Gerald Holl, Daniel Thaller, Paul Grünbacher, Christoph Elsner

Research output: Chapter in Book/Report/Conference proceedingConference proceedingspeer-review

Abstract

Large-scale software-intensive systems often consist of multiple heterogeneous and loosely coupled systems, which work together to form a system of systems (SoS). The individual systems often represent configurable units that need be adapted to customer requirements. In such multi product line environments, configuration dependencies between the product lines need to be discovered and enforced. Based on an analysis of the SoSs of our industry partners in the domains of medical systems and industrial automation, we identify several types of configuration dependencies between product lines. In particular, we point out the importance of emerging dependencies, which are not known in advance, but are detected in the course of the configuration process. For handling such emerging dependencies, we developed tool extensions to the DOPLER tool suite that provide support for the distributed configuration of multi product lines by multiple users and that support the inference of dependencies from emerging dependencies by observing user actions. We conducted a preliminary evaluation to assess our tool-supported approach. Our extensible set of dependency types turned out to be suitable for modeling configuration dependencies between product lines in the study system. The evaluation further showed the usefulness of the tool for capturing emerging dependencies by multiple users during distributed configuration.
Original languageEnglish
Title of host publicationVaMoS '12, Proceedings of the Sixth International Workshop on Variability Modeling of Software-Intensive Systems
PublisherACM New York
Pages3-10
Number of pages7
DOIs
Publication statusPublished - 2012

Fields of science

  • 102 Computer Sciences
  • 102009 Computer simulation
  • 102011 Formal languages
  • 102013 Human-computer interaction
  • 102029 Practical computer science
  • 102022 Software development
  • 102024 Usability research

JKU Focus areas

  • Computation in Informatics and Mathematics
  • Engineering and Natural Sciences (in general)

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