Hoff, Adrian Seidl, Christoph Lanza, Michele 2023 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. application/pdf https://susi.usi.ch/global/documents/329563 https://n2t.net/ark:/12658/srd1329563 https://susi.usi.ch/documents/329563/files/Lanza_2023_ACM_VAMOS.pdf eng info:eu-repo/semantics/altIdentifier/doi/10.1145/3571788.3571798 info:eu-repo/semantics/altIdentifier/ark/12658/srd1329563 info:eu-repo/semantics/openAccess License undefined International Working Conference on Variability Modelling of Software-Intensive Systems (VaMoS). - 2023, p. 77–81 Variability modeling Software visualization 3D model generation info:eu-repo/classification/udc/004 Uniquifying architecture visualization through variable 3D model generation http://purl.org/coar/resource_type/c_5794