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Artykuły w czasopismach na temat „JavaScript programs”

Autor: Grafiati

Data publikacji: 6 września 2023

Data aktualizacji: 31 lipca 2025

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1

Walker, Stuart, and Norihito Kawana. "JavaScript freeware programs." JALT CALL Journal 1, no. 1 (2005): 25–29. http://dx.doi.org/10.29140/jaltcall.v1n1.3.

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Walker, Stuart, and Norihito Kawana. "JavaScript freeware programs." JALT CALL Journal 1, no. 1 (2005): 25–29. http://dx.doi.org/10.29140/jaltcall.v1n2.r3.

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Sun, Kwangwon, and Sukyoung Ryu. "Analysis of JavaScript Programs." ACM Computing Surveys 50, no. 4 (2017): 1–34. http://dx.doi.org/10.1145/3106741.

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Ikram, Muhammad, Hassan Jameel Asghar, Mohamed Ali Kaafar, Anirban Mahanti, and Balachandar Krishnamurthy. "Towards Seamless Tracking-Free Web: Improved Detection of Trackers via One-class Learning." Proceedings on Privacy Enhancing Technologies 2017, no. 1 (2017): 79–99. http://dx.doi.org/10.1515/popets-2017-0006.

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Abstract Numerous tools have been developed to aggressively block the execution of popular JavaScript programs in Web browsers. Such blocking also affects functionality of webpages and impairs user experience. As a consequence, many privacy preserving tools that have been developed to limit online tracking, often executed via JavaScript programs, may suffer from poor performance and limited uptake. A mechanism that can isolate JavaScript programs necessary for proper functioning of the website from tracking JavaScript programs would thus be useful. Through the use of a manually labelled datase

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Vardanyan, V. "Profile-based optimizations for JavaScript programs." Proceedings of the Institute for System Programming of the RAS 28, no. 1 (2016): 5–20. http://dx.doi.org/10.15514/ispras-2016-28(1)-1.

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Zhuykov, Roman, та Eugene Sharygin. "Аhead of time optimization for JavaScript programs". Proceedings of the Institute for System Programming of the RAS 27, № 6 (2015): 67–86. http://dx.doi.org/10.15514/ispras-2015-27(6)-5.

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Alimadadi, Saba, Di Zhong, Magnus Madsen, and Frank Tip. "Finding broken promises in asynchronous JavaScript programs." Proceedings of the ACM on Programming Languages 2, OOPSLA (2018): 1–26. http://dx.doi.org/10.1145/3276532.

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Zhuykov, R., and E. Sharygin. "Ahead-of-time compilation of JavaScript programs." Programming and Computer Software 43, no. 1 (2017): 51–59. http://dx.doi.org/10.1134/s036176881701008x.

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Christian, Wolfgang, Mario Belloni, Robert M. Hanson, Bruce Mason, and Lyle Barbato. "Converting Physlets and Other Java Programs to JavaScript." Physics Teacher 59, no. 4 (2021): 278–81. http://dx.doi.org/10.1119/10.0004157.

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Younang, Astrid, and Lunjin Lu. "Static Checking of Range Assertions in JavaScript Programs." International Journal of Computer Theory and Engineering 9, no. 5 (2017): 346–50. http://dx.doi.org/10.7763/ijcte.2017.v9.1164.

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Ko, Yoonseok, Xavier Rival, and Sukyoung Ryu. "Weakly sensitive analysis for JavaScript object‐manipulating programs." Software: Practice and Experience 49, no. 5 (2019): 840–84. http://dx.doi.org/10.1002/spe.2676.

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Zhuykov, Roman, Dmitry Melnik, Ruben Buchatskiy, Vahagn Vardanyan, Vladislav Ivanishin, and Eugene Sharygin. "Dynamic and ahead of time optimization for JavaScript programs." Proceedings of the Institute for System Programming of RAS 26, no. 1 (2014): 297–314. http://dx.doi.org/10.15514/ispras-2014-26(1)-10.

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Jiang, Zijian, Hao Zhong, and Na Meng. "Investigating and recommending co-changed entities for JavaScript programs." Journal of Systems and Software 180 (October 2021): 111027. http://dx.doi.org/10.1016/j.jss.2021.111027.

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Alshraide, Mohammad. "A Complete Automation of Unit Testing for JavaScript Programs." Journal of Computer Science 4, no. 12 (2008): 1012–19. http://dx.doi.org/10.3844/jcssp.2008.1012.1019.

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Tilkov, Stefan, and Steve Vinoski. "Node.js: Using JavaScript to Build High-Performance Network Programs." IEEE Internet Computing 14, no. 6 (2010): 80–83. http://dx.doi.org/10.1109/mic.2010.145.

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Richards, Gregor, Sylvain Lebresne, Brian Burg, and Jan Vitek. "An analysis of the dynamic behavior of JavaScript programs." ACM SIGPLAN Notices 45, no. 6 (2010): 1–12. http://dx.doi.org/10.1145/1809028.1806598.

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Shoikhedbrod, Michael. "Using JavaScript in web design." BOHR International Journal of Engineering 2, no. 1 (2023): 7–14. http://dx.doi.org/10.54646/bije.2023.12.

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JavaScript was created to bring a web page to life. Scripts are programs written in JavaScript. Each script is connected directly to HyperText Markup Language (HTML) in any browser and is immediately executed when the web page is loaded. JavaScript scripts are written in plain text that does not require special training, which is why JavaScript is very different from the Java programming language, to which it is very similar. A special interpreter program allows JavaScript to be used not only in the browser but anywhere, and therefore the process of executing script commands is called “interpr

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18

Rokotyanskaya, Violyetta Valeryevna, and Vadim Sergeevich Abramov. "Studying WebAssembly and comparison of its performance with JavaScript." Vestnik of Astrakhan State Technical University. Series: Management, computer science and informatics 2023, no. 2 (2023): 93–100. http://dx.doi.org/10.24143/2072-9502-2023-2-93-100.

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Over the long history of the Internet, JavaScript has been the primary programming language in web development. Because of its simple syntax and support in all popular browsers, the language has gained popularity among the developers. However, as computer power and user demands evolved, simple sites turned into the web applications that are full-fledged analogues of the desktop applications. As capabilities grew, so did the performance requirements of such programs. Browser engines have developed ways to optimize the code they run, and intense competition between browsers has contributed to a

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19

Serrano, Manuel. "Of JavaScript AOT compilation performance." Proceedings of the ACM on Programming Languages 5, ICFP (2021): 1–30. http://dx.doi.org/10.1145/3473575.

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The fastest JavaScript production implementations use just-in-time (JIT) compilation and the vast majority of academic publications about implementations of dynamic languages published during the last two decades focus on JIT compilation. This does not imply that static compilers (AoT) cannot be competitive; as comparatively little effort has been spent creating fast AoT JavaScript compilers, a scientific comparison is lacking. This paper presents the design and implementation of an AoT JavaScript compiler, focusing on a performance analysis. The paper reports on two experiments, one based on

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Møller, Anders, Benjamin Barslev Nielsen, and Martin Toldam Torp. "Detecting locations in JavaScript programs affected by breaking library changes." Proceedings of the ACM on Programming Languages 4, OOPSLA (2020): 1–25. http://dx.doi.org/10.1145/3428255.

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21

Sheneamer, Abdullah. "Vulnerable JavaScript functions detection using stacking of convolutional neural networks." PeerJ Computer Science 10 (February 29, 2024): e1838. http://dx.doi.org/10.7717/peerj-cs.1838.

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System security for web-based applications is paramount, and for the avoidance of possible cyberattacks it is important to detect vulnerable JavaScript functions. Developers and security analysts have long relied upon static analysis to investigate vulnerabilities and faults within programs. Static analysis tools are used for analyzing a program’s source code and identifying sections of code that need to be further examined by a human analyst. This article suggests a new approach for identifying vulnerable code in JavaScript programs by using ensemble of convolutional neural networks (CNNs) mo

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Hong Son, Nguyen, and Ha Thanh Dung. "Malicious Javascript Detection based on Clustering Techniques." International Journal of Network Security & Its Applications 13, no. 6 (2021): 11–21. http://dx.doi.org/10.5121/ijnsa.2021.13602.

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Malicious JavaScript code is still a problem for website and web users. The complication and equivocation of this code make the detection which is based on signatures of antivirus programs becomes ineffective. So far, the alternative methods using machine learning have achieved encouraging results, and have detected malicious JavaScript code with high accuracy. However, according to the supervised learning method, the models, which are introduced, depend on the number of labeled symbols and require significant computational resources to activate. The rapid growth of malicious JavaScript is a r

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23

Nguyen, Hong Son, and Thanh Dung Ha. "MALICIOUS JAVASCRIPT DETECTION BASED ON CLUSTERING TECHNIQUES." International Journal of Network Security & Its Applications (IJNSA) 13, no. 6 (2021): 11–21. https://doi.org/10.5281/zenodo.5763066.

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Malicious JavaScript code is still a problem for website and web users. The complication and equivocation of this code make the detection which is based on signatures of antivirus programs becomes ineffective. So far, the alternative methods using machine learning have achieved encouraging results, and have detected malicious JavaScript code with high accuracy. However, according to the supervised learning method, the models, which are introduced, depend on the number of labeled symbols and require significant computational resources to activate. The rapid growth of malicious JavaScript is a r

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24

Tang, Jun. "A Lightweight Distributed Computing System Based on JavaScript Technology." Applied Mechanics and Materials 34-35 (October 2010): 1911–15. http://dx.doi.org/10.4028/www.scientific.net/amm.34-35.1911.

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Because the web is not only the platform for information exchange but also the computational platform based on JavaScript engine, every computer having installed modern browser on the Internet can easily access the web and execute some JavaScript programs. Under above conditions, we develop a lightweight distributed computing system based on the web and JavaScript technologies. Our system plays an intermediary role between the IT expert who has to solve large-scale computational problem and end users on the Internet. In the other words, people could easily cooperate with each other to finish c

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Bartkov, Maxim. "GRAAL AS A MULTILINGUAL PLATFORM." Innovative Solution in Modern Science 3, no. 47 (2021): 141. http://dx.doi.org/10.26886/2414-634x.3(47)2021.9.

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The variety of software environments allows everyone to choose what suits the creation of a specific program, application, etc. GraalVM is software that provides a significant improvement in program performance and efficiency, ideal for creating IT products. It is designed for programs written in Java, JavaScript, LLVM-based languages such as C and C ++ and other dynamic languages. It eliminates isolation between programming languages and provides compatibility in a common runtime environment. It can work alone or in the context of OpenJDK, Node.js or Oracle Database. The paper notes that high

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Humphrys, Mark. "Bringing AI APIs into the Classroom with a JavaScript Coding Site." International Journal of Information and Education Technology 15, no. 2 (2025): 272–79. https://doi.org/10.18178/ijiet.2025.15.2.2240.

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With the growth of large-scale Artificial Intelligence (AI) models has come the growth of AI Application Programming Interfaces (AI APIs), where the model remains at the remote site, and is called remotely via an API. The goal of this work is to bring accessible coding for AI APIs into the classroom. This paper describes two key innovations. First, a new JavaScript coding site, “Ancient Brain”, designed for education with a focus on AI. And second, the building of an extensive set of open-source JavaScript AI API programs that can be run by students in the browser and can also be edited and mo

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Song, Xuyan, Chen Chen, Baojiang Cui, and Junsong Fu. "Malicious JavaScript Detection Based on Bidirectional LSTM Model." Applied Sciences 10, no. 10 (2020): 3440. http://dx.doi.org/10.3390/app10103440.

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JavaScript has been widely used on the Internet because of its powerful features, and almost all the websites use it to provide dynamic functions. However, these dynamic natures also carry potential risks. The authors of the malicious scripts started using JavaScript to launch various attacks, such as Cross-Site Scripting (XSS), Cross-site Request Forgery (CSRF), and drive-by download attack. Traditional malicious script detection relies on expert knowledge, but even for experts, this is an error-prone task. To solve this problem, many learning-based methods for malicious JavaScript detection

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28

Christophe, Laurent, Coen De Roover, Elisa Gonzalez Boix, and Wolfgang De Meuter. "Orchestrating dynamic analyses of distributed processes for full-stack JavaScript programs." ACM SIGPLAN Notices 53, no. 9 (2020): 107–18. http://dx.doi.org/10.1145/3393934.3278135.

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Barrie, Patrick J. "JavaScript Programs To Calculate Thermodynamic Properties Using Cubic Equations of State." Journal of Chemical Education 82, no. 6 (2005): 958. http://dx.doi.org/10.1021/ed082p958.

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Barrie, Patrick J. "JavaScript Programs To Calculate Thermodynamic Properties Using Cubic Equations of State." Journal of Chemical Education 82, no. 6 (2005): 960. http://dx.doi.org/10.1021/ed082p960.2.

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MORALES, JOSE F., RÉMY HAEMMERLÉ, MANUEL CARRO, and MANUEL V. HERMENEGILDO. "Lightweight compilation of (C)LP to JavaScript." Theory and Practice of Logic Programming 12, no. 4-5 (2012): 755–73. http://dx.doi.org/10.1017/s1471068412000336.

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AbstractWe present and evaluate a compiler from Prolog (and extensions) to JavaScript which makes it possible to use (constraint) logic programming to develop the client side of web applications while being compliant with current industry standards. Targeting JavaScript makes (C)LP programs executable in virtually every modern computing device with no additional software requirements from the point of view of the user. In turn, the use of a very high-level language facilitates the development of high-quality, complex software. The compiler is a back end of the Ciao system and supports most of

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Antal, Gábor, Zoltán Tóth, Péter Hegedűs, and Rudolf Ferenc. "Enhanced Bug Prediction in JavaScript Programs with Hybrid Call-Graph Based Invocation Metrics." Technologies 9, no. 1 (2020): 3. http://dx.doi.org/10.3390/technologies9010003.

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Bug prediction aims at finding source code elements in a software system that are likely to contain defects. Being aware of the most error-prone parts of the program, one can efficiently allocate the limited amount of testing and code review resources. Therefore, bug prediction can support software maintenance and evolution to a great extent. In this paper, we propose a function level JavaScript bug prediction model based on static source code metrics with the addition of a hybrid (static and dynamic) code analysis based metric of the number of incoming and outgoing function calls (HNII and HN

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Vardanyan, V., V. Ivanishin, S. Asryan, A. Khachatryan, and J. Hakobyan. "Dynamic compilation of JavaScript programs to the statically typed LLVM intermediate representation." Proceedings of the Institute for System Programming of the RAS 27, no. 6 (2015): 33–48. http://dx.doi.org/10.15514/ispras-2015-27(6)-3.

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Wang, Yuchen, Kwok Sun Cheng, Myoungkyu Song, and Eli Tilevich. "A declarative enhancement of JavaScript programs by leveraging the Java metadata infrastructure." Science of Computer Programming 181 (July 2019): 27–46. http://dx.doi.org/10.1016/j.scico.2019.05.005.

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Mohr, Mateusz. "Selected techniques for source code obfuscation in scripting languages." Computer Science and Mathematical Modelling, no. 18/2023 (May 30, 2024): 33–42. http://dx.doi.org/10.5604/01.3001.0054.6335.

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The article presents the most common techniques for obfuscating the source code of computer programs. Obfuscation is defined and demonstrated through simple and easy-to-understand examples of code written in scripting languages such as Python and JavaScript. Its applications are discussed, and it is shown how to easily make the analysis of one’s programs more difficult.

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Bubukayr, Maryam, and Mounir Frikha. "Effective Techniques for Protecting the Privacy of Web Users." Applied Sciences 13, no. 5 (2023): 3191. http://dx.doi.org/10.3390/app13053191.

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With the rapid growth of web networks, the security and privacy of online users are becoming more compromised. Especially, the use of third-party services to track users’ activities and improve website performance. Therefore, it is unavoidable that using personal information to create unique profiles may violate individuals’ privacy. Recently, several tools have been developed such as anonymity, anti-tracking, and browser plugins to ensure the protection of users from third-party tracking methods by blocking JavaScript programs and other website components. However, the current state lacks an

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Goel, Aviral, Pierre Donat-Bouillud, Filip Křikava, Christoph M. Kirsch, and Jan Vitek. "What we eval in the shadows: a large-scale study of eval in R programs." Proceedings of the ACM on Programming Languages 5, OOPSLA (2021): 1–23. http://dx.doi.org/10.1145/3485502.

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Most dynamic languages allow users to turn text into code using various functions, often named <tt>eval</tt>, with language-dependent semantics. The widespread use of these reflective functions hinders static analysis and prevents compilers from performing optimizations. This paper aims to provide a better sense of why programmers use <tt>eval</tt>. Understanding why <tt>eval</tt> is used in practice is key to finding ways to mitigate its negative impact. We have reasons to believe that reflective feature usage is language and application domain-specific; we

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Ponomarenko, G. S., and P. G. Klyucharev. "Detection of Obfuscated Javascript Code Based on Abstract Syntax Trees Coloring." Mathematics and Mathematical Modeling, no. 2 (June 9, 2020): 1–24. http://dx.doi.org/10.24108/mathm.0220.0000218.

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The paper deals with a problem of the obfuscated JavaScript code detection and classification based on Abstract Syntax Trees (AST) coloring. Colors of the AST vertexes and edges are assigned with regard to the types of the AST vertexes specified by the program lexical and syntax structure and the programming language standard. Research involved a few stages. First of the all, a non-obfuscated JavaScript programs dataset was collected by the public repositories evaluation. Secondly, obfuscated samples were created using eight open-source obfuscators. Classifier models were built using an algori

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.N. BUTTEPAWAD,, DNYANESHWAR. "Chai-Vibe Web-App: A Full-Stack Chai-Inspired Booking and Blog Platform with DevOps Integration." International Scientific Journal of Engineering and Management 04, no. 06 (2025): 1–9. https://doi.org/10.55041/isjem04068.

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Abstract - This research paper presents the development of 'Chai-Vibe Web-App', a full-stack web platform that blends chai culture with modern digital convenience. The application allows users to register, log in, create blog posts, and book tables at cafes in a user-friendly interface inspired by the cozy and calming essence of chai. Built using HTML, SCSS, JavaScript, Node.js, and MongoDB, and integrated with DevOps tools like GitHub Actions and AWS, the platform ensures efficient backend logic, real-time updates, and secure authentication using JWT. The project emphasizes clean architecture

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Stothard, Paul. "The Sequence Manipulation Suite: JavaScript Programs for Analyzing and Formatting Protein and DNA Sequences." BioTechniques 28, no. 6 (2000): 1102–4. http://dx.doi.org/10.2144/00286ir01.

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Haghish, E. F. "On the importance of syntax coloring for teaching statistics." Stata Journal: Promoting communications on statistics and Stata 19, no. 1 (2019): 83–86. http://dx.doi.org/10.1177/1536867x19830892.

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In this article, I underscore the importance of syntax coloring in teaching statistics. I also introduce the statax package, which includes JavaScript and LATEX programs for highlighting Stata code in HTML and LATEX documents. Furthermore, I provide examples showing how to implement this package for developing educational materials on the web or for a classroom handout.

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Liu, Weizhi, and Lin Li. "Research and Application of Asynchronous Programming in JavaScript." World Journal of Innovation and Modern Technology 7, no. 6 (2024): 44–49. https://doi.org/10.53469/wjimt.2024.07(06).07.

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JavaScript, as a widely used scripting language in web development, did not initially include direct support for concurrent execution of multiple tasks in its design. This means that in the traditional JavaScript programming model, tasks need to be queued and executed in order, greatly limiting the efficiency and responsiveness of the program, especially when dealing with situations such as network requests, file reads and writes, or user interactions that require waiting for external resources. To address this issue, asynchronous programming patterns have emerged, allowing programs to continu

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Tiwow, Olivia Benazir Ester, and Adhi Kusnadi. "Implementasi Algoritma Prim Dalam Penentuan Ikatan Senyawa Kimia." Jurnal ULTIMA Computing 9, no. 2 (2018): 48–51. http://dx.doi.org/10.31937/sk.v9i2.789.

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This research concerns the implementation of Prim algorithm in the determination of bond of a chemical compound. By doing a minimum spanning tree search of a weight graph that has been created. Input from the user in the form of chemical compounds will be processed so that the compound can be divided into elements that will act as nodes on the prime algorithm. Weight of the tangent node is obtained from the comparison of the minimum number of atoms that can react between the two elements that will be bonded to each other. Applications developed on the basis of the web by considering the functi

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Arceri, Vincenzo, Isabella Mastroeni, and Sunyi Xu. "Static Analysis for ECMAScript String Manipulation Programs." Applied Sciences 10, no. 10 (2020): 3525. http://dx.doi.org/10.3390/app10103525.

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In recent years, dynamic languages, such as JavaScript or Python, have been increasingly used in a wide range of fields and applications. Their tricky and misunderstood behaviors pose a great challenge for static analysis of these languages. A key aspect of any dynamic language program is the multiple usage of strings, since they can be implicitly converted to another type value, transformed by string-to-code primitives or used to access an object-property. Unfortunately, string analyses for dynamic languages still lack precision and do not take into account some important string features. In

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45

Lee, Jun-Hee. "Automated Cross-Platform PLC Code Translation and Real Equipment Validation Using Large Language Models." Korea Industrial Technology Convergence Society 30, no. 2 (2025): 91–96. https://doi.org/10.29279/jitr.k.2025.30.2.91.

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This study proposes a web-based system that automatically converts LSIS PLC programs written in IL into Siemens STL using a large language model (Gemini API). The system consists of a JavaScript frontend and a FastAPI backend, with components for prompt design, I/O mapping, and output postprocessing. Five pneumatic control scenarios were tested using real Siemens S7-1500 hardware, and the converted STL programs executed correctly in all cases, requiring only minor edits. The results demonstrate the feasibility of LLM-based PLC code translation and suggest potential for future extensions to mul

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Kang, Ah, Young-Seob Jeong, Se Kim, and Jiyoung Woo. "Malicious PDF Detection Model against Adversarial Attack Built from Benign PDF Containing JavaScript." Applied Sciences 9, no. 22 (2019): 4764. http://dx.doi.org/10.3390/app9224764.

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Intelligent attacks using document-based malware that exploit vulnerabilities in document viewing software programs or document file structure are increasing rapidly. There are many cases of using PDF (portable document format) in proportion to its usage. We provide in-depth analysis on PDF structure and JavaScript content embedded in PDFs. Then, we develop the diverse feature set encompassing the structure and metadata such as file size, version, encoding method and keywords, and the content features such as object names, keywords, and readable strings in JavaScript. When features are diverse

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Miyaji, Isao. "Comparison of Term Recognition and Awareness in Blended Classes of JavaScript and PHP Programming." Asian Education Studies 2, no. 1 (2016): 28. http://dx.doi.org/10.20849/aes.v2i1.108.

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A lecture course is provided by projecting slides on contents of the lecture course on a screen and the grammar in textbook and JavaScript program examples are explained in a lecture course on programming. It was then followed by explanation with materials describing program examples to practice the grammar and exercise problems. We conducted exercises to prepare programs in exercise problems with reference to the program examples. Instructions were given to complete the program during the lecture course as soon as possible, and the students were asked to submit the program and report files us

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Rao, Xiaojia, Aïna Linn Georges, Maxime Legoupil, et al. "Iris-Wasm: Robust and Modular Verification of WebAssembly Programs." Proceedings of the ACM on Programming Languages 7, PLDI (2023): 1096–120. http://dx.doi.org/10.1145/3591265.

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WebAssembly makes it possible to run C/C++ applications on the web with near-native performance. A WebAssembly program is expressed as a collection of higher-order ML-like modules, which are composed together through a system of explicit imports and exports using a host language, enabling a form of higher- order modular programming. We present Iris-Wasm, a mechanized higher-order separation logic building on a specification of Wasm 1.0 mechanized in Coq and the Iris framework. Using Iris-Wasm, we are able to specify and verify individual modules separately, and then compose them modularly in a

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Leger, Paul, Felipe Ruiz, Hiroaki Fukuda, and Nicolás Cardozo. "Benefits, challenges, and usability evaluation of DeloreanJS: a back-in-time debugger for JavaScript." PeerJ Computer Science 9 (February 24, 2023): e1238. http://dx.doi.org/10.7717/peerj-cs.1238.

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JavaScript Web applications are a common product in industry. As with most applications, Web applications can acquire software flaws (known as bugs), whose symptoms are seen during the development stage and, even worse, in production. The use of debuggers is beneficial for detecting bugs. Unfortunately, most JavaScript debuggers (1) only support the “step into/through” feature in an execution program to detect a bug, and (2) do not allow developers to go back-in-time at the application execution to take actions to detect the bug accurately. For example, the second limitation does not allow dev

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Biibosunov, Bolotbek, and Jenish Beksulanov. "Information technologies for landslides and mudflows research." E3S Web of Conferences 177 (2020): 06005. http://dx.doi.org/10.1051/e3sconf/202017706005.

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This article presents the results of research using computer technology and mathematical modeling in relation to hydrodynamic processes that determine such natural disasters as landslides and mudflows common in the territory of the Kyrgyz Republic. A specialized website is proposed, which contains the results of scientific research on natural and man-made disasters and exogenous geological processes (EGP). The following systems were used as the main database management systems (DBMS): MS Access, My SQL and PostgreSQL. Thus, the main means of developing computer programs and computational proce

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