Multivariant product lines

Manufacturers of all business areas are increasingly forced to differentiate their product lines in order to satisfy the customer needs and to successfully compete within their markets. A common example are automotive manufacturers providing the opportunity to configure their cars down to the smallest detail. High customization possibilities usually lead to a wide product variance and therefore high production costs.

Systematic management of variance within product lines is the only profound way to master that complexity. We are convinced that visualizing multivariant product lines with their components and complex constraints in a concise manner plays a vital role in that process.

Best Paper Award

The Committee of the 25th International Conference on Transdisciplinary Engineering in Modena (Italy) honoured our paper Glencoe - A Tool for Specification, Visualization and Formal Analysis of Product Lines with the award for the best paper.


Glencoe is under active development. If you miss an important feature
or want to participate in the development, please contact us.


  • Tree The traditional visualization
  • Circle A visualization focussing on cross-tree constraints
  • Icicle A compact visualization especially targeting mobile devices
  • Table A conservative visualization focussing on feature properties



Cloud operation

  • Sign in with your existing Google account
  • Automatic synchronization of your feature models
    using a remote storage service hosted at Trier University of Applied Sciences

On-premises operation

  • On-premises operation is available. For individual licensing requests, please contact us.


  • Feature model consistency
  • Common features
  • False optional features
  • Dead features
  • Number of possible configurations
  • Incorrect feature types
  • Invalid, curious or unnecessary selection cardinalities

Solver farm


  • Height of feature model
  • Depth of feature
  • Number of features
  • Number of common features
  • Number of optional features
  • Number of false optional features
  • Number of dead features
  • Maximal number of children per feature
  • Average number of children per feature
  • Number of constraints
  • Number of simple constraints
  • Number of advanced constraints
  • Maximal number of constraints per feature
  • Average number of constraints per feature
  • Transitive closure cardinality
  • Impact
  • Number of possible configurations
  • Variability






Pseudonymization of exported feature models