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Uniquifying Architecture Visualization through Variable 3D Model Generation

  • Adrian Hoff
    ,
  • Christoph Seidl
    ,
  • Michele Lanza
Research Output:
Conference Article in Proceeding or Book/Report chapter
Article in proceedings
Peer-review

Open access

Publication Information

Output type

Research Output:
Conference Article in Proceeding or Book/Report chapter
Article in proceedings
Peer-review

Host publication Subtitle

VaMoS 2023

Original language

English

Pages from-to (Number of pages)

Pages 77 - 81

Publication milestones

  • Accepted/In press - 11/2022
  • Published - 01/2023

Publication status

Published - 01/2023

Place of publication

Odense, Denmark

Publisher

Association for Computing Machinery, United States
979-8-4007-0001-9/23/01

Publication IDs

  • Scopus: 85147425594

Host publication title

17th International Working Conference on Variability Modelling of Software-Intensive Systems

Abstract

Software visualization facilitates the interactive exploration of large-scale code bases, e.g., to rediscover the architecture of a legacy system. Visualizations of software structure suffer from repetitive patterns that complicate distinguishing different subsystems and recognizing previously visited parts of an architecture. We leverage variability-modeling techniques to "uniquify" visualizations of subsystems via custom-tailored 3D models of recognizable landmarks: For each subsystem, we derive a descriptor and translate it to a (random but deterministic) configuration of a feature model of variable 3D geometry to support large numbers of different 3D models while capturing the design language of a particular type of landmark. We devised a hybrid variant derivation mechanism using a slots-and-hooks composition system for 3D geometry as well as adjusting visual characteristics, e.g., material. We demonstrate our method by creating various different trophies as landmarks for the visualization of a software system.

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