Skip to content
#software testing Open access

Relay Voids — code, geometry, and verification data for "Evaluating inter-floor visibility and visual exposure in stacked atria: a parametric study of relay voids"

Sep 2026 · Zenodo (CERN European Organization for Nuclear Research)

Abstract

Analysis code, input geometry, parameters, seeds, results, figure scripts, and verification data for the manuscript "Evaluating inter-floor visibility and visual exposure in stacked atria: a parametric study of relay voids" by Sanghyun Son (School of Architecture, University of Ulsan; manuscript under review). Earlier working title: "Distributing inter-floor visibility and exposure in stacked atria: a design-space exploration of relay voids". What the deposit reproduces. The study measures downward inter-floor visibility and visual exposure in a five-floor building with stacked floor openings (voids) by directional ray casting between upper-floor observer points and lower-floor target cells. A controlled model holds the floor plate, void shapes and areas, and floor heights fixed and varies only void placement, described by drift (d) and adjacent-void overlap (o). The repository reproduces the manuscript's Tables 3-4, Supplementary Tables S1-S4, and Figures 2-13, 15 and 16: the metrics M1-M5 and derived readings (code/engine.py, code/controlled_model/), chain layout generation and the feasibility sweep over the (d, o) grid, the cluster-representative enumeration, the threshold-sensitivity protocol, the floor-pair matrices, floor-gap decomposition, exposure by observer floor, M4 variants and measured-plate check, the figure scripts (code/figures/), the RelayVision Rhino package (relayvision/), 20 verification cases with expected results (tests/), all parameters and seeds (parameters.json), software versions (ENVIRONMENT.md), and Supplementary Video S1 (media/). See README.md for the file-by-file map, run instructions (Python 3.10; numpy, matplotlib, shapely; Rhino 8 for the geometry export and RelayVision) and the update log. Version 1.2.0 (this version). Every metric family is evaluated on one target grid (floor-surface targets 1 m) with observers on a 2 m grid at eye height 1.5 m; M4 samples its observers on a 1 m grid inside the 3 m edge zone, in both the canonical pipeline and the independent reimplementation. The M4 definition is unified (openings only, transparent balustrade), and the floor-pair matrices, floor-gap decomposition, exposure by observer floor, M4 variants and measured-plate check are added. Canonical values used in the manuscript: proposal M1 8,143 m², M2 0.770, M3 246 m², M4 1,335 m²; aligned well 9,954 / 0.632 / 1,170 / 1,413. The exposure family (total exposure 76,477 / 115,034, M5a 0.305 / 0.416, M5b 0.278 / 0.184) is unchanged from v1.0.0; pre-v1.2.0 grid values are kept in results/legacy_grids_v1.1.0.json. Verification: 20/20 test cases pass (tests/run_tests.py). Versions 1.0.1 and 1.1.0 were internal and were not uploaded; the change log is in README.md. How to cite. Son, S. (2026). Relay Voids — code, geometry, and verification data (v1.2.0) [Software]. Zenodo. https://doi.org/10.5281/zenodo.22287866 (this version; concept DOI for all versions: https://doi.org/10.5281/zenodo.22281723). Licensing. Code (code/, relayvision/, tests/) under the MIT License; research data, controlled-model inputs, generated arrangements, results, and figure scripts/outputs under CC BY 4.0. Competition-design materials (geometry/measured_floors_2F-6F.json, rhino_export_raw.json, voids_engine_frame.json, walkthrough_scene.json, real_stacked_2F-6F.json, media/Video_S1_walkthrough.gif): design by Sanghyun Son (University of Ulsan; design principal) with HAENGLIM ARCHITECTS & ENGINEERS CO., LTD.; reproduced with permission for reproducing the published analysis only; all other rights reserved; further reuse requires permission (see README, Rights and permissions). Contact: Sanghyun Son, sanghyun.son@ulsan.ac.kr. Funding: University of Ulsan (2026-0283).

View source

Similar papers

#computer vision Review Sep 2017

Agile Software Development Methods: Review and Analysis

This publication proposes a definition and a classification of agile software development approaches and analyses ten software development methods that can be characterized as being "agile" against the defined criterion.

P. Abrahamsson, O. Salo, Jussi Ronkainen et al. · 727 citations · ⚡54
#computer vision Jun 2008

The impact of agile practices on communication in software development

The study shows that agile practices improve both informal and formal communication, but indicates that, in larger development situations involving multiple external stakeholders, a mismatch of adequate communication mechanisms can sometimes even hinder the communication.

M. Pikkarainen, Jukka Haikara, O. Salo et al. · 401 citations · ⚡48
#machine learning Review Open access Oct 2014

Software development in startup companies: A systematic mapping study

The results indicate that software engineering work practices are chosen opportunistically, adapted and configured to provide value under the constrains imposed by the startup context.

Nicolò Paternoster, Carmine Giardino, M. Unterkalmsteiner et al. · 394 citations · ⚡54
#computer vision Review Mar 2008

Agile methods in European embedded software development organisations: a survey on the actual use and usefulness of Extreme Programming and Scrum

The results show that the embedded industry has been able to apply agile methods in its development processes and that the appreciation of the agile methods and their individual practices appears to increase once adopted and applied in practice.

O. Salo, P. Abrahamsson · 238 citations · ⚡9
#computer vision Open access Jul 2017

What happens when software developers are (un)happy

Consequences of happiness and unhappiness that are beneficial and detrimental for developers' mental well-being, the software development process, and the produced artifacts are found.

D. Graziotin, Fabian Fagerholm, Xiaofeng Wang et al. · 236 citations · ⚡13
#computer vision Open access Oct 2004

Mobile-D: an agile approach for mobile application development

The Mobile-D approach is briefly outlined here and the experiences gained from four case studies are discussed, which helped develop an agile development approach for mobile application development.

P. Abrahamsson, Antti Hanhineva, H. Hulkko et al. · 225 citations · ⚡18

Related blog posts

GPT-Lab Nov 3, 2026

Sovereignty Is the Option to Leave

Is your company’s AI sovereign? A practical guide for CIOs on AI vendor lock-in, EU Data Act switching, cloud sovereignty, and testing your exit plan before you need it. The post Sovereignty Is the Option to Leave appeared first on GPT-Lab.

Microsoft Research Blog Oct 30, 2026

From synthetic enterprise data evaluations to real Microsoft Copilot AI confidence

Evaluating Microsoft Copilot at enterprise scale requires test data that captures the full complexity of real organizations, yet real enterprise data contains sensitive information that cannot be used for evaluation under any circumstances. The post From synthetic enterprise data evaluations to real Microsoft Copilot AI confidence appeared first on Microsoft Research.

Microsoft Research Blog Oct 29, 2026

Microsoft Research Focus – Edition #97

Host Sowbhagya Suresh shares some of the latest news and cutting-edge research from across Microsoft—from understanding the challenges facing coding agents to uncovering how people use AI at work and improving extended-range weather forecasting. The post Microsoft Research Focus – Edition #97 appeared first on Microsoft Research.

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.