Relevant bibliographies by topics / Code visualization

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Code visualization'

Author: Grafiati
Published: 5 June 2025
Last updated: 15 July 2025

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Journal articles on the topic "Code visualization"

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Researcher. "DEMOCRATIZING DATA INSIGHTS: THE IMPACT OF NO-CODE/LOW-CODE PLATFORMS ON BUSINESS INTELLIGENCE VISUALIZATION." International Journal of Research In Computer Applications and Information Technology (IJRCAIT) 7, no. 2 (2024): 647–61. https://doi.org/10.5281/zenodo.14025139.

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This article examines the transformative impact of no-code and low-code platforms on data visualization practices in contemporary business environments. As organizations grapple with the increasing complexity and volume of data, these platforms emerge as powerful tools for democratizing data access and empowering non-technical users to create sophisticated visualizations and dashboards. Through a comprehensive analysis of current literature, industry reports, and case studies, we explore how these platforms are reshaping traditional data visualization workflows, enhancing collaboration between
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El-Matarawy, Ali, Mohammad El-Ramly, and Reem Bahgat. "EgyCD Visualization for Code Clones." International Journal of Computer Applications 142, no. 4 (2016): 16–19. http://dx.doi.org/10.5120/ijca2016909741.

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Brekalo, Sanja, Klaudio Pap, and Bruno Trstenjak. "Enhancing Rendering Performance in Complex Visualizations by using Optimization Techniques and Algorithms in Browser Environments." Engineering, Technology & Applied Science Research 14, no. 3 (2024): 14049–55. http://dx.doi.org/10.48084/etasr.7201.

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This research is based on the hypothesis that optimization techniques can significantly improve the performance of complex visualizations in web browsers. The aim of the former was to determine to which extent the optimization can be achieved. Optimizations were coded to improve visualization, reduce the need for visual rendering, and decrease script execution time as well as the needed resources. To test the hypothesis, various optimization methods and algorithms were implemented on the initial visualization script and were tested. The main goal of this implementation was to assess how optimi
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Gavrilina, Daria, and Andrei Mantsivoda. "Low-Code and Object Spreadsheet." Bulletin of Irkutsk State University. Series Mathematics 40 (2022): 93–103. http://dx.doi.org/10.26516/1997-7670.2022.40.93.

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The paper considers low-code application development technology based on the idea of object-oriented programming (OOP) visualization. As the core, we use a version of OOP developed by us, which supports managing object models as microservices. The paper considers visual tools for managing object models as the basis for low-code development. An approach to visualization based on the so-called object spreadsheets is proposed. The spreadsheet methodology for object structure management, its implementation within the Ontobox platform, as well as the results of testing this interface to object mode
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Jakobsen, Mikkel Rønne, and Kasper Hornbæk. "Transient or permanent fisheye views: A comparative evaluation of source code interfaces." Information Visualization 11, no. 2 (2011): 151–67. http://dx.doi.org/10.1177/1473871611405643.

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Transient use of information visualization may support specific tasks without permanently changing the user interface. Transient visualizations provide immediate and transient use of information visualization close to and in the context of the user’s focus of attention. Little is known, however, about the benefits and limitations of transient visualizations. We describe an experiment that compares the usability of a fisheye view that participants could call up temporarily, a permanent fisheye view, and a linear view: all interfaces gave access to source code in the editor of a widespread progr
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Kim, JiHun, SungWon Lee, and JongHee Youn. "Malicious Code Characteristics Visualization using API." International Journal of Smartcare Home 1, no. 1 (2021): 75–84. http://dx.doi.org/10.21742/26531941.1.1.07.

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He, Ai Dong, and Bang Yan Ye. "A Method of Three-Dimensional Modeling Based on Voxel Code." Advanced Materials Research 139-141 (October 2010): 1312–16. http://dx.doi.org/10.4028/www.scientific.net/amr.139-141.1312.

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This article proposes a method of three-dimensional modeling based on voxel code, which can build three-dimensional model by means of cubic voxels and Voxel code. Voxel code is the one that records the formation of physical location of the voxels piled up in turn order in the body. The different Three-dimensional shape can be constructed according to different codes. In order to reduce the storage overhead of the code, the linear octree coding and decoding are given in recording voxel code. Combined with VTK (Visualization Toolkit) programming, some voxel models have been visualization. The mo
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Park, Bo Kyung, Geon-Hee Kang, Hyun Seung Son, Byungkook Jeon, and R. Young Chul Kim. "Code Visualization for Performance Improvement of Java Code for Controlling Smart Traffic System in the Smart City." Applied Sciences 10, no. 8 (2020): 2880. http://dx.doi.org/10.3390/app10082880.

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In an intelligent smart city like Sejong city in Korea, automatic and smart software is absolutely necessary for autonomous traffic and vehicles control systems. Therefore, these systems need to have an accurate and timely performance; otherwise, safety issues may arise. To resolve this, we propose our code visualization approach to adapt an object-oriented smart traffic control simulator, which analyzes Java code’s complexity and identifies bad codes against performance. To achieve an accurate performance, we must repeatedly perform refactoring until attaining a range of system-defined perfor
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Monika, Rybczak, Wenta Natalia, and Trzciński Dawid. "Visualization of Control Processes and Code Validation." International Journal of Innovative Technology and Exploring Engineering (IJITEE) 11, no. 1 (2021): 59–63. https://doi.org/10.35940/ijitee.A9590.1111121.

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The article contains an overview of articles related to the description of control process visualization. It provides short information on how to visualize the production line based on two programming environments: Factory IO and Inventor together with Matlab/Simulink. The analysis of these two environments concerns control of a virtual 3D object from a real PLC. Both virtual production line projects are based on control from the S7-1214 DC/DC/DC controller. Currently, there is a need to validate the program code or control process which has been done using several commercially available progr
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Kassim, Noordiana, Yusri Yusof, Nazri Mohd Nawi та Mohd Zakiyamani Awang. "The Development of New STEP-NС Code Generator (Milling STEP Coder)". Applied Mechanics and Materials 465-466 (грудень 2013): 667–71. http://dx.doi.org/10.4028/www.scientific.net/amm.465-466.667.

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This research explored ISO 14649 together with ISO 6983 and utilize STEP-NC in overcoming the problems of G & M code and at the same time take advantage of the current advances in computing and controllers. A new STEP-NC Code Generator called Milling STEP Coder, which focuses on the milling process that are able to generate STEP-NC codes based on ISO 14649 Part 11 was developed. This system also has the capabilities to visualize the STEP-NC codes generated in a parent to child relationship tree-view structure, as well as give an image visualization of how the end machining will appears. Th
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Dissertations / Theses on the topic "Code visualization"

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Stange, Yuri. "Visualization of Code Flow." Thesis, KTH, Skolan för datavetenskap och kommunikation (CSC), 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-162108.

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Visual representation of Control Flow Graphs (CFG) is a feature available in many tools, such as decompilers. These tools often rely on graph drawing frameworks which implement the Sugiyama hierarchical style graph drawing method, a well known method for drawing directed graphs. The main disadvantage of the Sugiyama framework, is the fact that it does not take into account the nature of the graph to be visualized, specically loops are treated as second class citizens. The question this paper attempts to answer is; how can we improve the visual representation of loops in the graph? A method bas
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De, Roberto Paola. "Information visualization: from petroglyphs to CoDe Graphs." Doctoral thesis, Universita degli studi di Salerno, 2018. http://hdl.handle.net/10556/3083.

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2016 - 2017<br>Data visualization concerns the communication of data through visual representations and techniques. It aims at enhancing perception and support data-driven decision making so enabling insights otherwise hard to achieve. A good visualization of data makes it possible to identify patterns and enables better understanding of phenomena. In other words, data visualization is related to an innate human ability to quickly comprehend, discern and convert patterns into useful and usable information. Humans have used visual graphical representations as early as 35.000 B.C., through
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Hopfner, Marbod. "Source Code Analysis, Management, and Visualization for PROLOG." Doctoral thesis, kostenfrei, 2008. http://www.opus-bayern.de/uni-wuerzburg/volltexte/2009/3630/.

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Eng, David 1978. "Combining static and dynamic data in code visualization." Thesis, McGill University, 2002. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=78356.

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The task of developing, tuning, and debugging compiler optimizations is a difficult one which can be facilitated by software visualization. There are many characteristics of the code which must be considered when studying the kinds of optimizations which can be performed. These characteristics can include large amounts of data which would be difficult to inspect without the appropriate tools. Both static data collected at compile-time and dynamic runtime data can reveal opportunities for optimization and affect code transformations. In order to expose the behavior of such complex system
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Somkiadcharoen, R. (Robroo). "Improving visualization on code repository issues for tasks understanding." Master's thesis, University of Oulu, 2019. http://jultika.oulu.fi/Record/nbnfioulu-201907202706.

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Abstract. Understanding the tasks and bug locating are extremely challenging and time-consuming. Achieving a new state of the art of understanding the tasks or issues and provide a high-level visualization to the users would be an incredible asset to both developers and research communities. Open Github archive are gathered, and the data is programmatically labelled. The Fasttext embedding model was trained to map the words to together based on semantics. Then, both CNN and RNN types of deep learning architectures are trained to classify whether each tokenized instance is a source file attribu
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Kacan, Denis, and Darius Sidlauskas. "Information Visualization and Machine Learning Applied on Static Code Analysis." Thesis, Blekinge Tekniska Högskola, Avdelningen för programvarusystem, 2008. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-3033.

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Software engineers will possibly never see the perfect source code in their lifetime, but they are seeing much better analysis tools for finding defects in software. The approaches used in static code analysis emerged from simple code crawling to usage of statistical and probabilistic frameworks. This work presents a new technique that incorporates machine learning and information visualization into static code analysis. The technique learns patterns in a program’s source code using a normalized compression distance and applies them to classify code fragments into faulty or correct. Since the
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Jefferson, Alvin Hayes. "Visualizing Java Code Smells with Dotplots." OpenSIUC, 2008. https://opensiuc.lib.siu.edu/theses/431.

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An approach using dot plots as an aid to visualizing smells within Java source files is presented. Dot plots are a visual tool that allows for viewing duplication in a document or text string. Our approach uses a plug-in for the Eclipse Java IDE to convert Java source files into dot plots. The goal here is to find problem areas in the code, known as "Code Smells", that could indicate that the source file needs to be modified or refactored. In the dot plot these problem areas appear as sections that contain interesting dot formations. Color is also used to enhance places of the dot plot that co
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Mahmood, Waqas, and Muhammad Faheem Akhtar. "Validation of Machine Learning and Visualization based Static Code Analysis Technique." Thesis, Blekinge Tekniska Högskola, Sektionen för datavetenskap och kommunikation, 2009. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-4347.

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Software security has always been an afterthought in software development which results into insecure software. Companies rely on penetration testing for detecting security vulnerabilities in their software. However, incorporating security at early stage of development reduces cost and overhead. Static code analysis can be applied at implementation phase of software development life cycle. Applying machine learning and visualization for static code analysis is a novel idea. Technique can learn patterns by normalized compression distance NCD and classify source code into correct or faulty usage
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Mamon, Andrei. "Graphical visualization of softwarepipelined code execution on pipelined andclustered VLIW DSP processors." Thesis, Linköping University, PELAB - Programming Environment Laboratory, 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-57642.

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<p>This report follows the development, testing and evaluation of a retargetable compilervisualization framework Optvis which can be used to visualize compiler generated code fordifferent VLIW architectures. Optvis is implemented in C++ programming language andfunctions as both standalone application and as plug-in for the retargetable compilerframework OPTIMIST.The purpose of this thesis work is to present the Optvis framework, to give a detailed viewover its internal structure and interaction with an end user. Additionally Optvis-OPTIMISTintegration is discussed. Testing and evaluation round
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Kumbakonam, Chandrasekar Ramalingam. "PROVIZ: an integrated graphical programming, visualization and scripting framework for WSNs." Thesis, Georgia Institute of Technology, 2013. http://hdl.handle.net/1853/47633.

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Wireless Sensor Networks (WSNs) are rapidly gaining popularity in various critical domains like health care, critical infrastructure, and climate monitoring, where application builders have diversified development needs. Independent of the functionalities provided by the WSN applications, many of the developers use visualization, simulation, and programming tools. However, these tools are designed as separate stand-alone applications, which force developers to use multiple tools. This situation often poses confusion and hampers an efficient development experience. To avoid the complexity of us
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Books on the topic "Code visualization"

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Mukherjee, Sudipta. Source Code Analytics With Roslyn and JavaScript Data Visualization. Apress, 2016. http://dx.doi.org/10.1007/978-1-4842-1925-6.

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1945-, Haase W., and Commission of the European Communities. Directorate General XII: Science, Research, and Development., eds. EUROVAL, an European initiative on validation of CFD codes: Results of the EC/BRITE-EURAM Project EUROVAL, 1990-1992. Vieweg, 1993.

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Ostrowska, Dorota, and Tamara L. Falicov. Shaping Film Festivals in a Changing World. Amsterdam University Press, 2025. https://doi.org/10.5117/9789463725576.

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This volume is a collective attempt on the part of a community of academics, film festival curators, and archivists to come to terms with practical and intellectual challenges of the pandemic and post-pandemic realities affecting cultures of film festivals. The collection draws contours of critical inquiry orienting current film festival research and practice to explore new directions in archiving and decolonizing practices and big data analysis in the post-Covid-19 context and beyond. The four-part study gathers the voices of academics and practitioners who engage in a dialogue to articulate
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Newman, Perry A. Observations regarding use of advanced CFD analysis, sensitivity analysis, and design codes in MDO. Institute for Computer Applications in Science and Engineering, NASA Langley Research Center, 1996.

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Mukherjee, Sudipta. Source Code Analytics With Roslyn and JavaScript Data Visualization. Apress, 2017.

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Ilyankou, Ilya, and Jack Dougherty. Hands-On Data Visualization: Interactive Storytelling from Spreadsheets to Code. O'Reilly Media, Incorporated, 2021.

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Essentials Of College Algebra With Modeling And Visualization Mymathlabmystatlab Student Access Code Card. Addison Wesley Longman, 2011.

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Mishra, Partha. Visualization in Seaborn for Data Science: Create Plots Using Single Line of Code in Python. Independently Published, 2022.

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Pham, Van Vung, and Tommy Dang. Hands-On Computer Vision with Detectron2: Develop Object Detection and Segmentation Models with a Code and Visualization Approach. de Gruyter GmbH, Walter, 2023.

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Programming Skills for Data Science: Start Writing Code to Wrangle, Analyze, and Visualize Data with R. Addison-Wesley Professional, 2018.

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Book chapters on the topic "Code visualization"

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Mukherjee, Sudipta. "Code Visualization." In Source Code Analytics With Roslyn and JavaScript Data Visualization. Apress, 2016. http://dx.doi.org/10.1007/978-1-4842-1925-6_7.

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Hammad, Muhammad, Hamid Abdul Basit, Stan Jarzabek, and Rainer Koschke. "Visualization of Clones." In Code Clone Analysis. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-1927-4_8.

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Mukherjee, Sudipta. "Code Mining." In Source Code Analytics With Roslyn and JavaScript Data Visualization. Apress, 2016. http://dx.doi.org/10.1007/978-1-4842-1925-6_5.

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Mukherjee, Sudipta. "Code Forensics." In Source Code Analytics With Roslyn and JavaScript Data Visualization. Apress, 2016. http://dx.doi.org/10.1007/978-1-4842-1925-6_6.

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Mukherjee, Sudipta. "Code Quality Metrics." In Source Code Analytics With Roslyn and JavaScript Data Visualization. Apress, 2016. http://dx.doi.org/10.1007/978-1-4842-1925-6_2.

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Mukherjee, Sudipta. "Code Performance Metrics." In Source Code Analytics With Roslyn and JavaScript Data Visualization. Apress, 2016. http://dx.doi.org/10.1007/978-1-4842-1925-6_4.

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Sylvia IV, J. J. "Code/Art Approaches to Data Visualization." In Research Methods for the Digital Humanities. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-96713-4_12.

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Moiz, Salman Abdul, and Raghavendra Rao Chillarige. "Method Level Code Smells: Chernoff Face Visualization." In Learning and Analytics in Intelligent Systems. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-24322-7_63.

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Carlone, Giulio. "Expected Exposure Visualization List of Java Code Packages." In Introduction to Credit Risk. Chapman and Hall/CRC, 2020. http://dx.doi.org/10.1201/9781003036944-14.

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Sparsha, P., P. B. Harish, and N. S. Kumar. "Visualization of Data Structures with Animation of Code." In Innovative Data Communication Technologies and Application. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-15-9651-3_43.

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Conference papers on the topic "Code visualization"

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Rayvanth, Nannapaneni, Pasupuleti Pranavi, E. Suryaa, Venkatahemant Kumar Reddy Challa, and Meena Belwal. "Code Confabulator: Harnessing LLMs to Compile Code for Visualization." In 2024 15th International Conference on Computing Communication and Networking Technologies (ICCCNT). IEEE, 2024. http://dx.doi.org/10.1109/icccnt61001.2024.10724543.

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Akathya, Ve Ram, Yadukul Suresh, Sahen Shivadutt, and Kavitha C.R. "Interactive Code Parsing and Expression Tree Visualization." In 2024 International Conference on Innovative Computing, Intelligent Communication and Smart Electrical Systems (ICSES). IEEE, 2024. https://doi.org/10.1109/icses63760.2024.10910649.

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Demeter, Peter, and Pavle Dakic. "Visualization of Code Metrics for Code Quality and Assessment of Breach of Standards." In 2024 14th International Conference on Advanced Computer Information Technologies (ACIT). IEEE, 2024. http://dx.doi.org/10.1109/acit62333.2024.10712460.

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Campanella, Stefano, and Michele Lanza. "Hidden in the Code: Visualizing True Developer Identities." In 2024 IEEE Working Conference on Software Visualization (VISSOFT). IEEE, 2024. https://doi.org/10.1109/vissoft64034.2024.00013.

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Jobst, Adrian, Daniel Atzberger, Willy Scheibel, Jürgen Döllner, and Tobias Schreck. "Delphi: A Natural Language Interface for 2.5D Treemap Visualization of Source Code." In 16th International Conference on Information Visualization Theory and Applications. SCITEPRESS - Science and Technology Publications, 2025. https://doi.org/10.5220/0013119600003912.

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Shreya Shree, S., Priyanka Prakash Katariya, S. Sruthi, and Meena Belwal. "Precise Lake: A Feedback and Visualization System For Optimizing Code Health." In 2024 15th International Conference on Computing Communication and Networking Technologies (ICCCNT). IEEE, 2024. http://dx.doi.org/10.1109/icccnt61001.2024.10724126.

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Krause-Glau, Alexander, Lukas Damerau, Malte Hansen, and Wilhelm Hasselbring. "Visual Integration of Static and Dynamic Software Analysis in Code Reviews via Software City Visualization." In 2024 IEEE Working Conference on Software Visualization (VISSOFT). IEEE, 2024. https://doi.org/10.1109/vissoft64034.2024.00028.

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Khaloo, Pooya, Mehran Maghoumi, Eugene Taranta, David Bettner, and Joseph Laviola. "Code Park: A New 3D Code Visualization Tool." In 2017 IEEE Working Conference on Software Visualization (VISSOFT). IEEE, 2017. http://dx.doi.org/10.1109/vissoft.2017.10.

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Hori, Akihiro, Masumi Kawakami, and Makoto Ichii. "CodeHouse: VR Code Visualization Tool." In 2019 Working Conference on Software Visualization (VISSOFT). IEEE, 2019. http://dx.doi.org/10.1109/vissoft.2019.00018.

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Bernhauer, David. "Code Visualization for Plagiarism Detection." In 2022 Ninth International Conference on Social Networks Analysis, Management and Security (SNAMS). IEEE, 2022. http://dx.doi.org/10.1109/snams58071.2022.10062664.

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Reports on the topic "Code visualization"

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Rzepecki, Jaroslaw P., Mikhail A. Kostin, and Nikolai V. Mokhov. 3D visualization for the MARS14 Code. Office of Scientific and Technical Information (OSTI), 2003. http://dx.doi.org/10.2172/807167.

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Roy, Christopher John, Bruce L. Bainbridge, Donald L. Potter, Frederick G. Blottner, and Amalia Rebecca Black. Visualization of Instrumental Verification Information Details (VIVID) : code development, description, and usage. Office of Scientific and Technical Information (OSTI), 2005. http://dx.doi.org/10.2172/922765.

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Moreland, Kenneth, Andrew Bauer, Berk Geveci, Patrick O'Leary, and Brad Whitlock. Leveraging production visualization tools in situ. Engineer Research and Development Center (U.S.), 2022. http://dx.doi.org/10.21079/11681/44844.

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The visualization community has invested decades of research and development into producing large-scale production visualization tools. Although in situ is a paradigm shift for large-scale visualization, much of the same algorithms and operations apply regardless of whether the visualization is run post hoc or in situ. Thus, there is a great benefit to taking the large-scale code originally designed for post hoc use and leveraging it for use in situ. This chapter describes two in situ libraries, Libsim and Catalyst, that are based on mature visualization tools, VisIt and ParaView, respectively
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Bauer, Andrew, James Forsythe, Jayanarayanan Sitaraman, Andrew Wissink, Buvana Jayaraman, and Robert Haehnel. In situ analysis and visualization to enable better workflows with CREATE-AV™ Helios. Engineer Research and Development Center (U.S.), 2021. http://dx.doi.org/10.21079/11681/40846.

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The CREATE-AV™ Helios CFD simulation code has been used to accurately predict rotorcraft performance under a variety of flight conditions. The Helios package contains a suite of tools that contain almost the entire set of functionality needed for a variety of workflows. These workflows include tools customized to properly specify many in situ analysis and visualization capabilities appropriate for rotorcraft analysis. In situ is the process of computing analysis and visualization information during a simulation run before data is saved to disk. In situ has been referred to with a variety of te
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Cattaneo, Matias D., Richard K. Crump, Max H. Farrell, and Yingjie Feng. Nonlinear Binscatter Methods. Federal Reserve Bank of New York, 2024. http://dx.doi.org/10.59576/sr.1110.

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Binned scatter plots are a powerful statistical tool for empirical work in the social, behavioral, and biomedical sciences. Available methods rely on a quantile-based partitioning estimator of the conditional mean regression function to primarily construct flexible yet interpretable visualization methods, but they can also be used to estimate treatment effects, assess uncertainty, and test substantive domain-specific hypotheses. This paper introduces novel binscatter methods based on nonlinear, possibly nonsmooth M-estimation methods, covering generalized linear, robust, and quantile regressio
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Bauer, Andrew. In situ and time. Engineer Research and Development Center (U.S.), 2022. http://dx.doi.org/10.21079/11681/46162.

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Large-scale HPC simulations with their inherent I/O bottleneck have made in situ visualization an essential approach for data analysis, although the idea of in situ visualization dates back to the era of coprocessing in the 1990s. In situ coupling of analysis and visualization to a live simulation circumvents writing raw data to disk for post-mortem analysis -- an approach that is already inefficient for today's very large simulation codes. Instead, with in situ visualization, data abstracts are generated that provide a much higher level of expressiveness per byte. Therefore, more details can
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Moore, Jason, and Aaron McVay. Out-of-Core Digital Terrain Elevation Data (DTED) Visualization. Defense Technical Information Center, 2008. http://dx.doi.org/10.21236/ada484665.

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Mazorchuk, Mariia S., Tetyana S. Vakulenko, Anna O. Bychko, Olena H. Kuzminska, and Oleksandr V. Prokhorov. Cloud technologies and learning analytics: web application for PISA results analysis and visualization. [б. в.], 2021. http://dx.doi.org/10.31812/123456789/4451.

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This article analyzes the ways to apply Learning Analytics, Cloud Technologies, and Big Data in the field of education on the international level. This paper provides examples of international analytical researches and cloud technologies used to process the results of those researches. It considers the PISA research methodology and related tools, including the IDB Analyzer application, free R intsvy environment for processing statistical data, and cloud-based web application PISA Data Explorer. The paper justifies the necessity of creating a stand-alone web application that supports Ukrainian
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Hunter, R., S. Ross, and Jing-Ru Cheng. A general-purpose multiplatform GPU-accelerated ray tracing API. Engineer Research and Development Center (U.S.), 2023. http://dx.doi.org/10.21079/11681/47260.

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Real-time ray tracing is an important tool in computational research. Among other things, it is used to model sensors for autonomous vehicle simulation, efficiently simulate radiative energy propagation, and create effective data visualizations. However, raytracing libraries currently offered for GPU platforms have a high level of complexity to facilitate the detailed configuration needed by gaming engines and high-fidelity renderers. A researcher wishing to take advantage of the performance gains offered by the GPU for simple ray casting routines would need to learn how to use these ray traci
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10

Kiv, Arnold E., Vladyslav V. Bilous, Dmytro M. Bodnenko, Dmytro V. Horbatovskyi, Oksana S. Lytvyn, and Volodymyr V. Proshkin. The development and use of mobile app AR Physics in physics teaching at the university. [б. в.], 2021. http://dx.doi.org/10.31812/123456789/4629.

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This paper outlines the importance of using Augmented Reality (AR) in physics education at the university as a valuable tool for visualization and increasing the attention and motivation of students to study, solving educational problems related to future professional activities, improving the interaction of teachers and students. Provided an analysis of the types of AR technology and software for developing AR apps. The sequences of actions for developing the mobile application AR Physics in the study of topics: “Direct electronic current”, “Fundamentals of the theory of electronic circuits”.
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