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27 results for “Software visualization”
Visualization and quantification of coral reef soundscapes using CoralSoundExplorer software
<p>Support material for the research paper "Visualization and quantification of coral reef soundscapes using CoralSoundExplorer software"</p>
SleepEEGpy: a Python-based software integration package to organize preprocessing, analysis, and visualization of sleep EEG data
<p>This dataset includes three high-density sleep EEG recordings of healthy participants, downsampled to 250 Hz and stored in FIF format:</p> <ol> <li>Nap recording of a young adult participant</li> <li>Overnight recording of a young adult participant</li> <li>Overnight recording of an older adult participant</li> </ol> <p>Additionally, the dataset includes three text files for each recording:</p> <ul> <li>bad_channels.txt: Indexes of noisy channels</li> <li>annotations.txt: Onset and duration of noisy temporal intervals</li> <li>staging.txt: Sleep staging vector</li> </ul> <p>The corresponding package can be found on <a href="https://github.com/NirLab-TAU/sleepeegpy">GitHub.</a></p> <p>For citation, please use:<br>Falach, R., G. Belonosov, J. F. Schmidig, M. Aderka, V. Zhelezniakov, R. Shani-Hershkovich, E. Bar, and Y. Nir. "SleepEEGpy: a Python-based software integration package to organize preprocessing, analysis, and visualization of sleep EEG data." Computers in Biology and Medicine 192 (2025): 110232.<br><a href="https://doi.org/10.1016/j.compbiomed.2025.110232" rel="nofollow">https://doi.org/10.1016/j.compbiomed.2025.110232</a></p>
Supplementary data for: Collaborative Program Comprehension via Software Visualization in Extended Reality
<p>Supplementary videos and images for: Collaborative Program Comprehension via Software Visualization in Extended Reality</p> <p>Videos are additionally hosted on: <a href="https://www.youtube.com/channel/UCijDvGaoZqH0LiFW3DSNH1w">https://www.youtube.com/channel/UCijDvGaoZqH0LiFW3DSNH1w</a></p>
Figure 4. (a) Therapy player software screen, where a) is the stimuli time, b) is the total therapy time, c) is the file path, d) displays the numeric values of each sequence of the therapy, e) shows the current value, and f) shows the current lag angle for zenith and azimuth values; (b) USB mechanism for conversion, where a) USB-UART converter, and b) USB-Zigbee converter.-Design of a Novel Servo-motorized Laser Device for Visual Pathways Diseases Therapy
<p>Where tt time expended by the servomotors to point the laser to a given position and execute<br> a laser beam sequence; tspin is the time that a servomotor needs to spin one degree; ttol is a given the<br> tolerance time; θservo is the addition of degrees that both servos in a laser driver need to spin point<br> the laser in a given position; tstimuli is the time expended in execute a laser beam, between 250 and<br> 605 ms (Weiskrantz et al., 1991); T is the total time of all repetitions in a therapy, suggested<br> between 20 and 60 minutes and N is the number of repetitions in a therapy.</p>
Figure 1. Visual and synthetic representation of the modelling process in the software industry-The Fundamentals Regarding the Usage of the Concept of Interface for the Modeling of the Software Artefacts
<p>The experience that is accumulated regarding the modelling paradigms in the software engineering is impressive. Thus, the software engineering recognizes modelling paradigms like object orientation, aspect orientation, component orientation, service orientation, agent orientation. In one form or another, these paradigms prove their ex- cellence in certain types of IT projects. At the same time, these paradigms reveal their objective limits when they are used to engineer the real world software systems. Every modelling paradigm represents, in fact, a modality to represent the real world using a specific formal framework. The specificity of the formal framework is defined from both a syntactic and semantic perspective. The formal syntactic framework of a paradigm refers to the concepts that are used by the paradigm in order to represent the real world, but also to the recommended principles that allow for these concepts to interact in a correct and efficient manner. Both the concepts and the principles benefit from a formal representation that ultimately favours communication as a secondary modelling lever inside the IT projects. Every syntactic artefact of a paradigm can be associated with a certain real world semantics, which it abstracts. As a consequence, considering that the real world continuously enhances its semantic potential, the syntactic constructs that are favoured by the paradigm may become problematic.</p>
Experimental Data for: Hierarchical Software Landscape Visualization for System Comprehension: A Controlled Experiment
<p>In many enterprises the number of deployed applications is constantly increasing. Those applications - often several hundreds - form large software landscapes. The comprehension of such landscapes is frequently impeded due to, for instance, architectural erosion, personnel turnover, or changing requirements. Therefore, an efficient and effective way to comprehend such software landscapes is required. The current state of the art often visualizes software landscapes via flat graph-based representations of nodes, applications, and their communication.</p> <p>In our ExplorViz visualization, we introduce hierarchical abstractions aiming at solving typical system comprehension tasks fast and accurately for large software landscapes. To evaluate our hierarchical approach, we conduct a controlled experiment comparing our hierarchical landscape visualization to a flat, state-of-the-art visualization. In addition, we thoroughly analyze the strategies employed by the participants and provide a package containing all our experimental data to facilitate the verifiability, reproducibility, and further extensibility of our results.</p> <p>We observed a statistically significant increase of 14 % in task correctness of the hierarchical visualization group compared to the flat visualization group in our experiment. The time spent on the system comprehension tasks did not show any significant differences. The results backup our claim that our hierarchical concept enhances the current state of the art in landscape visualization.</p> <p>This package contains our experimental data.</p>
DNA Data Visualizations Generated with DDV Software
<p>A ZIP file containing the DNA Data Visualization interfaces generated with DDV software. These interfaces are available live at: at: http://www.photomedia.ca/DDV/dnadata/ </p> <p>The corresponding source code for this project is at: https://github.com/photomedia/DDV</p> <p> </p>
Data from: Research and exploratory analysis driven - time-data visualization (read-tv) software
<strong><em>read-tv</em></strong> <p>The main paper is about, <em>read-tv</em>, open-source software for longitudinal data visualization. We uploaded sample use case surgical flow disruption data to highlight <em>read-tv</em>'s capabilities. We scrubbed the data of protected health information, and uploaded it as a single CSV file. A description of the original data is described below.</p> Data source <p>Surgical workflow disruptions, defined as "<i>deviations from the natural progression of an operation thereby potentially compromising the efficiency or safety of care", </i>provide a window on the systems of work through which it is possible to analyze <u>mismatches between the work demands and the ability of the people to deliver the work</u>. They have been shown to be sensitive to different intraoperative technologies, surgical errors, surgical experience, room layout, checklist implementation and the effectiveness of the supporting team. The significance of flow disruptions lies in their ability to provide a hitherto unavailable perspective on the quality and efficiency of the system. This allows for a systematic, quantitative and replicable assessment of risks in surgical systems, evaluation of interventions to address them, and assessment of the role that technology plays in exacerbation or mitigation.</p> <p>In 2014, Drs Catchpole and Anger were awarded NIBIB R03 EB017447 to investigate flow disruptions in Robotic Surgery which has resulted in the detailed, multi-level analysis of over 4,000 flow disruptions. Direct observation of 89 RAS (robitic assisted surgery) cases, found a mean of 9.62 flow disruptions per hour, which varies across different surgical phases, predominantly caused by coordination, communication, equipment, and training problems.</p>
SoK: Taxonomy of Attacks on Open-Source Software Supply Chains - Visualization Tool Screenshots & Selected Papers
<p>This artifact complements the paper "SoK: Taxonomy of Attacks on Open-Source Software Supply Chains", submitted at IEEE S&P 2023.</p> <p>The papers selected during the Systematic Literature Review (SLR) are presented in the CSV file.</p> <p>This screenshots display the main features of the visualization tool that allows to explore the taxonomy of attacks on OSS supply chains, as well as the related safeguards and the selected references.</p>
Artifact: VISON: An Ontology-Based Approach for Software Visualization Tool Discoverability
<p>VISON an ontology that captures the semantics of software visualizations through concepts and relationships. The artifact has been submitted to VISSOFT'19 to support the results reported on our full paper "VISON: An Ontology-Based Approach for Software Visualization Tool Discoverability".</p>
Performance Evolution Matrix: Visualizing Performance Variations along Software Versions
<p># Performance Evolution Matrix<br> This repository contains the artifacts needed to replicate our experiment in the paper "Performance Evolution Matrix".</p> <p># Video Demo<br> [download](https://github.com/jpsandoval/PerfEvoMatrix/blob/master/MatrixMovie.mp4)<br> <br> # XMLSupport and GraphET Examples</p> <p>To open the XMLSupport and GraphET Examples (which appears in the paper) execute the following commands in a Terminal.</p> <p>**MacOSX.** We do all the experiments in a Mac Book Pro. To open the Matrix execute the following command in the folder where this project was downloaded. </p> <p>```<br> ./Pharo-OSX/Pharo.app/Contents/MacOS/Pharo Matrix.image<br> ```</p> <p>**Windows.**<br> You may also run the experiment in Windows, but depending on the windows version you have installed it may be some some UI bugs.<br> ```<br> cd Pharo-Windows<br> Pharo.exe ../XMLSupportExample.image<br> ```</p> <p>**Open the Visualization.**<br> Please select the following code, then execute it using the green play button (at the top right of the window).<br> ```<br> ToadBuilder xmlSupportExample.<br> ```<br> or <br> ```<br> ToadBuilder graphETExample.<br> ```<br> **Note.** There are two buttons at the panel top left In (zoom in) and Out (zoom out). To move the visualization just drag the moves over the panel.</p> <p># Experiment<br> This subsection describe how to execute the tools, for replicating our experiment.</p> <p>## Baseline<br> The baseline contains the tools and the project-dataset to realize the tasks described in the paper (identifying and understanding performance variations).</p> <p>## Open the Baseline</p> <p>**MacOSX.** We do all the experiments in a Mac Book Pro. To open the Baseline execute the following command in the folder where this project was downloaded. </p> <p>```<br> ./Pharo-OSX/Pharo.app/Contents/MacOS/Pharo Baseline.image<br> ```</p> <p>**Windows.**<br> You may also run the experiment in Windows, but depending on the windows version you have installed it may be some some UI bugs.<br> ```<br> cd Pharo-Windows<br> Pharo.exe ../Baseline.image<br> ```</p> <p>## Open a Project</p> <p>There are three projects under study, depending on the project you wanna use for the task, you may execute one of the following scripts. For executing a script press Cmd-d or right-click and press do it.</p> <p>**Roassal**<br> ```<br> TProfileVersion openRoassal.<br> ```</p> <p>**XML**<br> ```<br> TProfileVersion openXML.<br> ```<br> **Grapher**<br> ```<br> TProfileVersion openGrapher.<br> ```</p> <p>## Baseline Options<br> For each project, we provide a UI which contains all the tools we use as a baseline. Each item in the list is a version of the selected project.</p> <p><img src="images/baseline.png" width="300"></p> <p>- Browse: open a standard window to inspect the code of the project in the selected version.<br> - Profile: open a window with a call context tree for the selected version.<br> - Source Diff: open a window with the code differences between the selected version and the previous one.<br> - Execution Diff: open a window with the merge call context tree gathered from the selected version and the previous one. </p> <p>**Note.** All these options require you select first a item in the list.</p> <p># Matrix</p> <p>## Open Matrix Image.</p> <p>**MacOSX.** We do all the experiments in a Mac Book Pro. To open the Matrix execute the following command in the folder where this project was downloaded. </p> <p>```<br> ./Pharo-OSX/Pharo.app/Contents/MacOS/Pharo Matrix.image<br> ```</p> <p>**Windows.**<br> You may also run the experiment in Windows, but depending on the windows version you have installed it may be some some UI bugs.<br> ```<br> cd Pharo-Windows<br> Pharo.exe ../Matrix.image<br> ```</p> <p>## Open a project</p> <p>There are three projects under study, depending on the project you wanna use for the task, you may execute one of the following scripts. For executing a script press Cmd-d or right-click and press do it.</p> <p>**Roassal**<br> ```<br> ToadBuilder roassal.<br> ```</p> <p>**XML**<br> ```<br> ToadBuilder xml.<br> ```<br> **Grapher**<br> ```<br> ToadBuilder grapher.<br> ```</p> <p># Data Gathering</p> <p>Before each participant starts a task we execute the following script in Smalltalk. For executing a script press Cmd-d or right-click and press do it. It allows us to track the time that a user starts the experiment and how many mouse clicks, movements.<br> ```<br> UProfiler newSession.<br> UProfiler current start.<br> ```</p> <p>After finishing the task we executed the following script. It stop recording the mouse events and save the stops time.<br> ```<br> UProfiler current end.<br> ```</p> <p>The last script generates a file with the following information: start time, end time, number of clicks, number of mouse movements, and the number of mouse drags (we do not use this last one).<br> ```<br> 11:34:52.5205 am,11:34:56.38016 am,14,75,0</p> <p>```<br> # Quit<br> To close the artifact, just close the window or press click in any free space of the window and select quit.</p>
Scores on independence, quality of life, and satisfaction on visual mapping software intervention in children with Down syndrome
<p>Enhancing independence and quality of life are key modifiable outcomes that are short- and long-term goals for children with Down syndrome and for their parents. Here we report the outcome of a 4-week feasibility study in a cohort of 26 children with Down Syndrome, 7–17 years old, who used an assistive technology approach that incorporated smart device software and <span>step-by-step</span> pictures (the MapHabit System). Parents reported improvements in children's activities of daily living, quality of life, and independence. They recommended this technology to other families. This report and its findings underscore the feasibility of using assistive technology in children with Down syndrome within home and family settings.</p> <p>The current findings that assistive technology can be used successfully and effectively in family and home settings set the stage for more informative systematic studies using assistive technology for this population.</p>
Scores on independence, quality of life, and satisfaction on visual mapping software intervention in children with Down syndrome
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Data from: Research and exploratory analysis driven - time-data visualization (read-tv) software
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Visual tracking of animals in three-dimensions using mobile handheld independent GoPro cameras and VSLAM software
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Supplementary Material for the Manuscript "CADV: A software visualization approach for code annotations distribution"
<p>Supplementary Material for the Manuscript "CADV: A software visualization approach for code annotations distribution".</p> <p>Contains the data generated for this work, questions used for interviews/questionnaire, and coding process.</p>
Dataset and Jupyter notebook for "pyDARN: A Python Software for Visualizing SuperDARN Radar Data"
<p>SuperDARN radar dataset and Jupyter notebook used to generate figures for "pyDARN: A Python Software for Visualizing SuperDARN Radar Data".</p>
MRI-targeted Biopsy of the Prostate: Software Versus Visual Registration in the Accuracy of Prostate Cancer Detection
ClinicalTrials.gov study NCT03819751. IPD Sharing: NO. Countries: 1. Publications: 9.
Intelligent Java Dataset Construction and Visualization Evaluation for Reliable Software Development
<p><span>These datasets include LiuKui, New-100, New-400, and the dataset utilized in RQ5. </span></p>
Intelligent Java Dataset Construction and Visualization Evaluation for Reliable Software Development (Sci)
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ScienceDex guides
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.