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Автор: Grafiati
Опубліковано: 6 вересня 2023

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Статті в журналах з теми "JavaScript programs"

1

Walker, Stuart, and Norihito Kawana. "JavaScript freeware programs." JALT CALL Journal 1, no. 1 (April 30, 2005): 25–29. http://dx.doi.org/10.29140/jaltcall.v1n1.3.

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2

Walker, Stuart, and Norihito Kawana. "JavaScript freeware programs." JALT CALL Journal 1, no. 1 (April 30, 2005): 25–29. http://dx.doi.org/10.29140/jaltcall.v1n2.r3.

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3

Sun, Kwangwon, and Sukyoung Ryu. "Analysis of JavaScript Programs." ACM Computing Surveys 50, no. 4 (November 8, 2017): 1–34. http://dx.doi.org/10.1145/3106741.

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4

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 (January 1, 2017): 79–99. http://dx.doi.org/10.1515/popets-2017-0006.

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Анотація:
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 dataset composed of 2,612 JavaScript programs, we show how current privacy preserving tools are ineffective in finding the right balance between blocking tracking JavaScript programs and allowing functional JavaScript code. To the best of our knowledge, this is the first study to assess the performance of current web privacy preserving tools in determining tracking vs. functional JavaScript programs. To improve this balance, we examine the two classes of JavaScript programs and hypothesize that tracking JavaScript programs share structural similarities that can be used to differentiate them from functional JavaScript programs. The rationale of our approach is that web developers often “borrow” and customize existing pieces of code in order to embed tracking (resp. functional) JavaScript programs into their webpages. We then propose one-class machine learning classifiers using syntactic and semantic features extracted from JavaScript programs. When trained only on samples of tracking JavaScript programs, our classifiers achieve accuracy of 99%, where the best of the privacy preserving tools achieve accuracy of 78%. The performance of our classifiers is comparable to that of traditional two-class SVM. One-class classification, where a training set of only tracking JavaScript programs is used for learning, has the advantage that it requires fewer labelled examples that can be obtained via manual inspection of public lists of well-known trackers. We further test our classifiers and several popular privacy preserving tools on a larger corpus of 4,084 websites with 135,656 JavaScript programs. The output of our best classifier on this data is between 20 to 64% different from the tools under study. We manually analyse a sample of the JavaScript programs for which our classifier is in disagreement with all other privacy preserving tools, and show that our approach is not only able to enhance user web experience by correctly classifying more functional JavaScript programs, but also discovers previously unknown tracking services.
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5

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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7

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 (October 24, 2018): 1–26. http://dx.doi.org/10.1145/3276532.

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8

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

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9

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 (April 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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Дисертації з теми "JavaScript programs"

1

Naudziuniene, Daiva. "An infrastructure for tractable verification of JavaScript programs." Thesis, Imperial College London, 2017. http://hdl.handle.net/10044/1/59355.

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Анотація:
The highly dynamic nature of JavaScript, coupled with its intricate semantics, makes the understanding and development of correct JavaScript code notoriously difficult. We believe that logic-based verification has much to offer to JavaScript. In particular, separation logic has been successfully applied to verification tools for static languages. However, it has hardly been used to reason about programs written in dynamic languages in general, and JavaScript in particular. This thesis presents JaVerT, a semi-automatic JavaScript Verification Toolchain for tractable logic-based verification of JavaScript programs. JaVerT verifies JavaScript programs annotated with function specifications in the form of pre- and postconditions, loop invariants, and annotations for the folding and unfolding of user-defined predicates. We design natural JavaScript abstractions that allow JavaScript developers wishing to verify JavaScript programs to not think about almost any internals of the language. The actual process of how JaVerT verifies the given annotated JavaScript program is not visible to the JavaScript developer, and is achieved using our JSIL verification infrastructure. This infrastructure includes: JSIL, a simple goto language, suitable for logic-based verification of JavaScript; JSIL Logic, a sound separation logic for JSIL; and JSIL Verify, a semi-automatic verification tool, based on JSIL Logic. The joining ingredient of JaVerT is a JavaScript frontend to our JSIL verification infrastructure, tightly connecting programs and reasoning at the level of JavaScript to programs and reasoning at the level of JSIL. This frontend includes a well-tested compiler from JavaScript code to JSIL code, a translator from JavaScript Logic to JSIL Logic, and well-tested JSIL reference implementations and verified axiomatic specifications of the JavaScript internal functions. We demonstrate the feasibility of JaVerT to specify and verify simple data structure libraries, illustrating our ideas using an implementation of a priority queue. Our given specifications ensure prototype safety of library operations, in that they describe the conditions under which these operations exhibit the desired behaviour.
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2

Jiang, Zijian. "Investigating and Recommending Co-Changed Entities for JavaScript Programs." Thesis, Virginia Tech, 2020. http://hdl.handle.net/10919/101102.

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Анотація:
JavaScript (JS) is one of the most popular programming languages due to its flexibility and versatility, but debugging JS code is tedious and error-prone. In our research, we conducted an empirical study to characterize the relationship between co-changed software entities (e.g., functions and variables), and built a machine learning (ML)-based approach to recommend additional entity to edit given developers’ code changes. Specifically, we first crawled 14,747 commits in 10 open-source projects; for each commit, we created one or more change dependency graphs (CDGs) to model the referencer-referencee relationship between co-changed entities. Next, we extracted the common subgraphs between CDGs to locate recurring co-change patterns between entities. Finally, based on those patterns, we extracted code features from co-changed entities and trained an ML model that recommends entities-to-change given a program commit. According to our empirical investigation, (1) 50% of the crawled commits involve multi-entity edits (i.e., edits that touch multiple entities simultaneously); (2) three recurring patterns commonly exist in all projects; and (3) 80–90% of co-changed function pairs either invoke the same function(s), access the same variable(s), or contain similar statement(s); and (4) our ML-based approach CoRec recommended entity changes with high accuracy. This research will improve programmer productivity and software quality.
M.S.
This thesis introduced a tool CoRec which can provide co-change suggestions when JavaScript programmers fix a bug. A comprehensive empirical study was carried out on 14,747 multi-entity bug fixes in ten open-source JavaScript programs. We characterized the relationship between co-changed entities (e.g., functions and variables), and extracted the most popular change patterns, based on which we built a machine learning (ML)-based approach to recommend additional entity to edit given developers’ code changes. Our empirical study shows that: (1) 50% of the crawled commits involve multi-entity edits (i.e., edits that touch multiple entities simultaneously); (2) three change patterns commonly exist in all ten projects; (3) 80-90% of co-changed function pairs in the 3 patterns either invoke the same function(s), access the same variable(s), or contain similar statement(s); and (4) our ML-based approach CoRec recommended entity changes with high accuracy. Our research will improve programmer productivity and software quality.
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3

Heidegger, Phillip [Verfasser], and Peter [Akademischer Betreuer] Thiemann. "Increasing software quality of JavaScript programs : an approach based on type systems = Verbesserung der Software Qualität von JavaScript Programmen." Freiburg : Universität, 2013. http://d-nb.info/111482917X/34.

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4

Challa, Varshi. "Accessing timesheets via internet through ASP and ODBC." CSUSB ScholarWorks, 2000. https://scholarworks.lib.csusb.edu/etd-project/1605.

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Анотація:
The purpose of this project is to develop a computerized timesheet application. Using this application, an employee of a company can log onto the company's Web site and fill out a timesheet from anywhere in the world. The project involved automating timesheet data entry and approval procedures using contemporary technologies like Active Server Pages (ASP), JavaScript, VB Script, Component Object Model (COM), Components and Open Database connectivity (ODBC).
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Hengstebeck, Sandra Marie. "Presentations world wide systems." CSUSB ScholarWorks, 2001. https://scholarworks.lib.csusb.edu/etd-project/1922.

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6

Tandon, Seema Amit. "Web Texturizer: Exploring intra web document dependencies." CSUSB ScholarWorks, 2004. https://scholarworks.lib.csusb.edu/etd-project/2539.

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Анотація:
The goal of this project is to create a customized web browser to facilitate the skimming of documents by offsetting the document with relevant information. This project added techniques of learning information retrieval to automate the web browsing experience to the web texturizer. The script runs on the web texturizer website; and it allows users to quickly navigate through the web page.
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7

Kuna, Matej. "Úprava programů v Javascriptu pomocí překladače." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2010. http://www.nusl.cz/ntk/nusl-237098.

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Анотація:
In this project I deal with basic description of source code obfuscation and size reduction techniques of programming languages. The project is primary aimed on scripting language named JavaScript and involved analysis of free obfuscation tools for this language. In the final stage I have created an application is based on theoretical scope of this project and able to obfuscate JavaScript source codes on different levels.
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8

Kleivane, Tine Flåten. "Unit Testing with TDD in JavaScript." Thesis, Norges teknisk-naturvitenskapelige universitet, Institutt for datateknikk og informasjonsvitenskap, 2011. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-14263.

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Анотація:
JavaScript has gained increased usage and attention the last years, but development and testing methods is still lagging behind.To mitigate some of these issues, this thesis brings together unit testing and JavaScript, using test-driven development as a methodology. Through exploration of these topics, the differentiators in a unit testing framework are considered. Existing frameworks are also discussed and how the terminology in JavaScript differs from traditional xUnit family frameworks.By creating and running a set of four test cases, both the general and unique features of JavaScript are tested in hand-picked frameworks, which were decided through an evaluation process. One of the contributions is based on this; a recommendation for a minimum set of test library features for a JavaScript unit testing framework.Various factors were found to differentiate the frameworks, and so the thesis also provides a Discovery test case to emphasize some of these aspects. This test case provides practitioners with a quick option for learning a new framework. The set of test cases can be applied to new frameworks to assess their functionality.As the thesis explores an area with little current research, suggestions for further work present several topics, ranging from system level JavaScript testing to quantitative studies building on the set of test cases.
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9

Fragoso, Femenin dos Santos José. "Vers l’établissement du flux d’information sûr dans les applications Web côté client." Thesis, Nice, 2014. http://www.theses.fr/2014NICE4148/document.

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Анотація:
Nous nous intéressons à la mise en œuvre des politiques de confidentialité et d'intégrité des données dans le contexte des applications Web côté client. Étant donné que la plupart des applications Web est développée en JavaScript, on propose des mécanismes statiques, dynamiques et hybrides pour sécuriser le flux d'information en Core JavaScript - un fragment de JavaScript qui retient ses caractéristiques fondamentales. Nous étudions en particulier: une sémantique à dispositif de contrôle afin de garantir dynamiquement le respect des politiques de sécurité en Core JavaScript aussi bien qu'un compilateur qui instrumente un programme avec le dispositif de contrôle proposé, un système de types qui vérifie statiquement si un programme respecte une politique de sécurité donnée, un système de types hybride qui combine des techniques d'analyse statique à des techniques d'analyse dynamique afin d'accepter des programmes surs que sa version purement statique est obligée de rejeter. La plupart des programmes JavaScript s'exécute dans un navigateur Web dans le contexte d'une page Web. Ces programmes interagissent avec la page dans laquelle ils sont inclus parmi des APIs externes fournies par le navigateur. Souvent, l'exécution d'une API externe dépasse le périmètre de l'interprète du langage. Ainsi, une analyse réaliste des programmes JavaScript côté client doit considérer l'invocation potentielle des APIs externes. Pour cela, on présente une méthodologie générale qui permet d'étendre des dispositifs de contrôle de sécurité afin qu'ils prennent en compte l'invocation potentielle des APIs externes et on applique cette méthodologie à un fragment important de l'API DOM Core Level 1
In this thesis, we address the issue of enforcing confidentiality and integrity policies in the context of client-side Web applications. Since most Web applications are developed in the JavaScript programming language, we study static, dynamic, and hybrid enforcement mechanisms for securing information flow in Core JavaScript --- a fragment of JavaScript that retains its defining features. Specifically, we propose: a monitored semantics for dynamically enforcing secure information flow in Core JavaScript as well as a source-to-source transformation that inlines the proposed monitor, a type system that statically checks whether or not a program abides by a given information flow policy, and a hybrid type system that combines static and dynamic analyses in order to accept more secure programs than its fully static counterpart. Most JavaScript programs are designed to be executed in a browser in the context of a Web page. These programs often interact with the Web page in which they are included via a large number of external APIs provided by the browser. The execution of these APIs usually takes place outside the perimeter of the language. Hence, any realistic analysis of client-side JavaScript must take into account possible interactions with external APIs. To this end, we present a general methodology for extending security monitors to take into account the possible invocation of arbitrary APIs and we apply this methodology to a representative fragment of the DOM Core Level 1 API that captures DOM-specific information flows
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10

Parker, Rembert N. "An introduction to computer programming for complete beginners using HTML, JavaScript, and C#." CardinalScholar 1.0, 2008. http://liblink.bsu.edu/uhtbin/catkey/1465970.

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Анотація:
Low student success rates in introductory computer programming classes result in low student retention rates in computer science programs. For some sections of the course a traditional approach began using C# in the .Net development environment immediately. An experimental course redesign for one section was prepared that began with a study of HTML and JavaScript and focused on having students build web pages for several weeks; after that the experimental course used C# and the .Net development environment, covering all the material that was covered in the traditional sections. Students were more successful in the experimental section, with a higher percentage of the students passing the course and a higher percentage of the students continuing on to take at least one additional computer science course.
Department of Computer Science
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Книги з теми "JavaScript programs"

1

Berry, Culverton. JavaScript. Chandni Chowk, Delhi: Global Media, 2009.

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2

Wilton, Paul. Beginning JavaScript. New York: John Wiley & Sons, Ltd., 2004.

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3

1979-, McPeak Jeremy, ed. Beginning JavaScript. 3rd ed. Indianapolis, IN: Wiley Technology Pub., 2007.

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4

Wilton, Paul. Beginning JavaScript. New York: John Wiley & Sons, Ltd., 2007.

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5

Wilton, Paul. Beginning JavaScript. Birmingham, England: Wrox Press, 2000.

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6

Wilton, Paul. Beginning JavaScript. Indianapolis, In: Wiley, 2003.

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7

Wilton, Paul. Beginning JavaScript. Birmingham, England: Wrox Press, 2003.

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8

Beginning JavaScript. 2nd ed. Indianapolis, IN: Wiley Pub., 2004.

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9

Wilton, Paul. Beginning JavaScript. New York: John Wiley & Sons, Ltd., 2005.

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10

Wilton, Paul. Beginning JavaScript. 4th ed. Hoboken, NJ: Wiley, 2010.

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Частини книг з теми "JavaScript programs"

1

Thiemann, Peter. "Towards Specializing JavaScript Programs." In Lecture Notes in Computer Science, 320–34. Berlin, Heidelberg: Springer Berlin Heidelberg, 2015. http://dx.doi.org/10.1007/978-3-662-46823-4_26.

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2

Almashfi, Nabil, and Lunjin Lu. "Static Taint Analysis for JavaScript Programs." In Communications in Computer and Information Science, 155–67. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-71472-7_13.

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3

Santos, José Fragoso, Philippa Gardner, Petar Maksimović, and Daiva Naudžiūnienė. "Towards Logic-Based Verification of JavaScript Programs." In Automated Deduction – CADE 26, 8–25. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-63046-5_2.

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Thiemann, Peter. "Towards a Type System for Analyzing JavaScript Programs." In Programming Languages and Systems, 408–22. Berlin, Heidelberg: Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/978-3-540-31987-0_28.

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5

Padhiyar, Sumit, and K. C. Sivaramakrishnan. "ConFuzz: Coverage-Guided Property Fuzzing for Event-Driven Programs." In Practical Aspects of Declarative Languages, 127–44. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-67438-0_8.

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Анотація:
AbstractBug-free concurrent programs are hard to write due to non-determinism arising out of concurrency and program inputs. Since concurrency bugs typically manifest under specific inputs and thread schedules, conventional testing methodologies for concurrent programs like stress testing and random testing, which explore random schedules, have a strong chance of missing buggy schedules.In this paper, we introduce a novel technique that combines property-based testing with mutation-based, grey box fuzzer, applied to event-driven OCaml programs. We have implemented this technique in , a directed concurrency bug-finding tool for event-driven OCaml programs. Using , programmers specify high-level program properties as assertions in the concurrent program. uses the popular greybox fuzzer AFL to generate inputs as well as concurrent schedules to maximise the likelihood of finding new schedules and paths in the program so as to make the assertion fail. does not require any modification to the concurrent program, which is free to perform arbitrary I/O operations. Our experimental results show that is easy-to-use, effective, detects concurrency bugs faster than Node.Fz - a random fuzzer for event-driven JavaScript programs, and is able to reproduce known concurrency bugs in widely used OCaml libraries.
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Arceri, Vincenzo, Martina Olliaro, Agostino Cortesi, and Isabella Mastroeni. "Completeness of Abstract Domains for String Analysis of JavaScript Programs." In Theoretical Aspects of Computing – ICTAC 2019, 255–72. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-32505-3_15.

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Bartlett, Jonathan. "Your First JavaScript Program." In Programming for Absolute Beginners, 105–15. Berkeley, CA: Apress, 2022. http://dx.doi.org/10.1007/978-1-4842-8751-4_8.

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Davis, Harold. "Programming with JavaScript." In Learn How to Program, 373–97. Berkeley, CA: Apress, 2004. http://dx.doi.org/10.1007/978-1-4302-1113-6_11.

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Zuckarelli, Joachim L. "Wie bringe ich ein Programm zum Laufen?" In Programmieren lernen mit Python und JavaScript, 235–43. Wiesbaden: Springer Fachmedien Wiesbaden, 2021. http://dx.doi.org/10.1007/978-3-658-29850-0_19.

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Zuckarelli, Joachim L. "Was muss ich tun, um ein Programm zum Laufen zu bringen?" In Programmieren lernen mit Python und JavaScript, 441–50. Wiesbaden: Springer Fachmedien Wiesbaden, 2021. http://dx.doi.org/10.1007/978-3-658-29850-0_29.

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Тези доповідей конференцій з теми "JavaScript programs"

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Eshkevari, Laleh, Davood Mazinanian, Shahriar Rostami, and Nikolaos Tsantalis. "JSDeodorant: Class-Awareness for JavaScript Programs." In 2017 IEEE/ACM 39th International Conference on Software Engineering (ICSE). IEEE, 2017. http://dx.doi.org/10.1109/icse-c.2017.6.

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Dhok, Monika, Murali Krishna Ramanathan, and Nishant Sinha. "Type-aware concolic testing of JavaScript programs." In ICSE '16: 38th International Conference on Software Engineering. New York, NY, USA: ACM, 2016. http://dx.doi.org/10.1145/2884781.2884859.

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Lóki, Gábor, and Péter Gál. "JavaScript Guidelines for JavaScript Programmers - A Comprehensive Guide for Performance Critical JS Programs." In 13th International Conference on Software Technologies. SCITEPRESS - Science and Technology Publications, 2018. http://dx.doi.org/10.5220/0006918903970404.

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Lóki, Gábor, and Péter Gál. "JavaScript Guidelines for JavaScript Programmers - A Comprehensive Guide for Performance Critical JS Programs." In 13th International Conference on Software Technologies. SCITEPRESS - Science and Technology Publications, 2018. http://dx.doi.org/10.5220/0006918904310438.

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Almashfi, Nabil, Lunjin Lu, Koby Picker, and Christian Maldonado. "Precise String Analysis for JavaScript Programs Using Automata." In ICSCA '19: 2019 8th International Conference on Software and Computer Applications. New York, NY, USA: ACM, 2019. http://dx.doi.org/10.1145/3316615.3316662.

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Cardenas, Sergio, Paul Leger, Hiroaki Fukuda, and Nicolás Cardozo. "Points-to Analysis for Context-Oriented JavaScript Programs." In FTfJP '23: 25th ACM International Workshop on Formal Techniques for Java-like Programs. New York, NY, USA: ACM, 2023. http://dx.doi.org/10.1145/3605156.3606451.

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Richards, Gregor, Sylvain Lebresne, Brian Burg, and Jan Vitek. "An analysis of the dynamic behavior of JavaScript programs." In the 2010 ACM SIGPLAN conference. New York, New York, USA: ACM Press, 2010. http://dx.doi.org/10.1145/1806596.1806598.

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Tian Huat Tan, Yinxing Xue, Manman Chen, Shuang Liu, Yi Yu, and Jun Sun. "JSFox: Integrating Static and Dynamic Type Analysis of JavaScript Programs." In 2017 IEEE/ACM 39th International Conference on Software Engineering (ICSE). IEEE, 2017. http://dx.doi.org/10.1109/icse-c.2017.91.

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Nielsen, Benjamin Barslev, Martin Toldam Torp, and Anders Moller. "Semantic Patches for Adaptation of JavaScript Programs to Evolving Libraries." In 2021 IEEE/ACM 43rd International Conference on Software Engineering: Companion Proceedings (ICSE-Companion). IEEE, 2021. http://dx.doi.org/10.1109/icse-companion52605.2021.00105.

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Nielsen, Benjamin Barslev, Martin Toldam Torp, and Anders Moller. "Semantic Patches for Adaptation of JavaScript Programs to Evolving Libraries." In 2021 IEEE/ACM 43rd International Conference on Software Engineering (ICSE). IEEE, 2021. http://dx.doi.org/10.1109/icse43902.2021.00020.

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