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Multi-purpose, multi-level feature modeling of large-scale industrial software systems.

Daniela Rabiser1, Herbert Prähofer2, Paul Grünbacher1

  • 11Christian Doppler Laboratory MEVSS, Institute for Software Systems Engineering, Johannes Kepler University Linz, Linz, Austria.

Software and Systems Modeling
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Summary

Developing feature models for large systems is complex. This study introduces FORCE, a modeling language and tool, to manage diverse purposes and granularities, enhancing system-wide perspectives.

Keywords:
Case studyFeature modelingLarge-scale software systems

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Area of Science:

  • Software Engineering
  • Computer Science

Background:

  • Feature models are crucial for representing configurable software systems and product lines.
  • Modeling large-scale systems presents challenges due to diverse needs (e.g., product management, architecture, configuration) and varying granularity.

Purpose of the Study:

  • To investigate the characteristics and modularity of feature models in large-scale industrial automation software systems.
  • To develop a novel approach (FORCE) that addresses the challenges of feature modeling for diverse purposes and multiple levels of granularity.
  • To demonstrate the effectiveness of FORCE in managing consistency and providing a system-wide perspective.

Main Methods:

  • Conducted an exploratory case study on two large-scale industrial automation software systems.
  • Developed FORCE, a modeling language and tool environment extending existing feature modeling approaches.
  • Applied FORCE to real-world examples (Pick and Place Unit, injection molding subsystem) and analyzed model dependencies.

Main Results:

  • Identified key characteristics and modularity metrics for feature models in large systems.
  • FORCE successfully supports models for different purposes and granularities, including code base mappings.
  • Demonstrated consistency between different feature models and the importance of modeling inter-model dependencies.

Conclusions:

  • Considering feature purpose and level is beneficial for large-scale system modeling.
  • Modeling dependencies between feature models is essential for a comprehensive system view.
  • The FORCE approach enhances the management and consistency of feature models for complex software systems.