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Articoli di riviste sul tema "Programming languages"

Autore: Grafiati

Pubblicato: 4 giugno 2021

Ultima modifica: 25 luglio 2025

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1

Garg, Rakesh, and Supriya Raheja. "Fuzzy Distance-Based Approach for the Assessment and Selection of Programming Languages." International Journal of Decision Support System Technology 15, no. 1 (2023): 1–19. http://dx.doi.org/10.4018/ijdsst.315761.

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The desire to develop software with more and more functionalities to make human work easier pushes the industry towards developing various programming languages. The existence of the various programming languages in today's scenario raises the need for their evaluation. The motive of this research is the development of a deterministic decision support framework to solve the object-oriented programming (OOP) language's selection problem. In the present study, OOP language's selection problem is modeled as a multi-criteria decision-making, and a novel fuzzy-distance based approach is anticipated

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2

Tratt, Laurence, and Adam Welc. "Programming Languages." IEEE Software 31, no. 5 (2014): 33–34. http://dx.doi.org/10.1109/ms.2014.119.

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3

Trott, Peter. "Programming languages." ACM SIGPLAN Notices 32, no. 1 (1997): 14–57. http://dx.doi.org/10.1145/251595.251598.

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4

Wand, Mitchell, and Daniel P. Friedman. "Programming languages." ACM SIGPLAN Notices 43, no. 11 (2008): 133–35. http://dx.doi.org/10.1145/1480828.1480857.

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5

Anderson, Ben, and Blair MacIntyre. "Programming languages." ACM SIGCHI Bulletin 28, no. 3 (1996): 15–19. http://dx.doi.org/10.1145/231132.231137.

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6

Meek, Brian L. "Programming languages." ACM SIGPLAN Notices 29, no. 4 (1994): 49–57. http://dx.doi.org/10.1145/181761.181768.

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7

Rajaraman, V. "Programming languages." Resonance 3, no. 12 (1998): 43–54. http://dx.doi.org/10.1007/bf02838097.

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8

Rock, S. T. "Developing robot programming languages using an existing language as a base—A viewpoint." Robotica 7, no. 1 (1989): 71–77. http://dx.doi.org/10.1017/s0263574700005051.

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SUMMARYThe development of robot languages has followed a pattern similar to that of conventional programming languages, where robot languages have been based on an existing programming language. This paper first identifies the use of an existing base as one way of developing robot programming languages, and discusses the areas of difficulty in this approach. Then, on-line and off-line programming of robots is discussed and the requirements of robot programming languages that are different to those of non-specialised programming languages are presented. A discussion and evaluation of some progr

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9

Allen, Ben. "Common Language: Business Programming Languages and the Legibility of Programming." IEEE Annals of the History of Computing 40, no. 2 (2018): 17–31. http://dx.doi.org/10.1353/ahc.2018.0011.

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10

Mominjon Ogli, Khaitov Azizjon. "MODERN PROGRAMMING LANGUAGES: CLASSIFICATION AND CHARACTERIZATION." International Journal of Advance Scientific Research 02, no. 11 (2022): 108–11. http://dx.doi.org/10.37547/ijasr-02-11-16.

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11

Thewlis, David. "Editorial: Programming languages." Software Engineering Journal 1, no. 4 (1986): 146. http://dx.doi.org/10.1049/sej.1986.0021.

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12

Goldberg, Benjamin. "Functional programming languages." ACM Computing Surveys 28, no. 1 (1996): 249–51. http://dx.doi.org/10.1145/234313.234414.

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13

Annevelink, Jurgen. "Database programming languages." ACM SIGMOD Record 20, no. 2 (1991): 318–27. http://dx.doi.org/10.1145/119995.115841.

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14

Lindsey, C. H. "Comparative programming languages." Science of Computer Programming 12, no. 2 (1989): 172–73. http://dx.doi.org/10.1016/0167-6423(89)90047-6.

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15

Xu, Jiafu, and Fanming Song. "Quantum programming languages." Frontiers of Computer Science in China 2, no. 2 (2008): 161–66. http://dx.doi.org/10.1007/s11704-008-0013-z.

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16

Heim, Bettina, Mathias Soeken, Sarah Marshall, et al. "Quantum programming languages." Nature Reviews Physics 2, no. 12 (2020): 709–22. http://dx.doi.org/10.1038/s42254-020-00245-7.

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17

Thielscher, Michael. "Action Programming Languages." Synthesis Lectures on Artificial Intelligence and Machine Learning 2, no. 1 (2008): 1–91. http://dx.doi.org/10.2200/s00143ed1v01y200807aim005.

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18

Unruh, Dominique. "Quantum programming languages." Informatik - Forschung und Entwicklung 21, no. 1-2 (2006): 55–63. http://dx.doi.org/10.1007/s00450-006-0012-y.

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19

Turner, Raymond. "Understanding Programming Languages." Minds and Machines 17, no. 2 (2007): 203–16. http://dx.doi.org/10.1007/s11023-007-9062-6.

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20

López-Fraguas, Francisco. "Programming and Languages." JUCS - Journal of Universal Computer Science 12, no. (11) (2006): 1464–65. https://doi.org/10.3217/jucs-012-11.

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21

Urusov, Ruslan Mukhtarovich, and Elmir Imanbekov. "CURRENT PROGRAMMING LANGUAGES." Theoretical & Applied Science 143, no. 03 (2025): 305–8. https://doi.org/10.15863/tas.2025.03.143.23.

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22

D. Vu, Hieu. "PROGRAMMING LANGUAGES CHRONICLE." INTERNATIONAL JOURNAL OF COMPUTER ENGINEERING AND TECHNOLOGY 16, no. 3 (2025): 315–29. https://doi.org/10.34218/ijcet_16_03_023.

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23

Nazarova, Nigora Karimovna. "Fundamentals of Programming." Multidisciplinary Journal of Science and Technology 5, no. 5 (2025): 1720–23. https://doi.org/10.5281/zenodo.15593870.

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Abstract (sommario):

This scientific article presents the fundamental principles of programming, including the concepts of algorithms, data structures, programming logic, and programming languages. Basic constructs used in imperative languages are outlined, along with key principles of object-oriented programming. The paper analyzes the main stages of software development and common debugging techniques. Emphasis is placed on understanding syntax, semantics, and program logic, which serve as a solid foundation for learning modern programming languages.

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24

Van Hentenryck, Pascal. "Constraint logic programming." Knowledge Engineering Review 6, no. 3 (1991): 151–94. http://dx.doi.org/10.1017/s0269888900005798.

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AbstractConstraint logic programming (CLP) is a generalization of logic programming (LP) where unification, the basic operation of LP languages, is replaced by constraint handling in a constraint system. The resulting languages combine the advantages of LP (declarative semantics, nondeterminism, relational form) with the efficiency of constraint-solving algorithms. For some classes of combinatorial search problems, they shorten the development time significantly while preserving most of the efficiency of imperative languages. This paper surveys this new class of programming languages from thei

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25

Đurđev, Darko. "Popularity of programming languages." AIDASCO Reviews 2, no. 2 (2024): 24–29. https://doi.org/10.59783/aire.2024.59.

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Programming languages have evolved significantly since their beginning, allowing developers to communicate with machines much more quickly. From assembly languages to modern tools like Python and Rust, the IT landscape continues to grow and diversify. This paper examines the popularity and usage trends of programming languages by analyzing three prominent ranking systems: the PYPL index, the TIOBE index, and the Stack Overflow Developer Survey. These metrics provide us with insight into how many different languages are being studied and used in projects, as well as their general popularity and

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26

Olatunji, Ezekiel K., John B. Oladosu, Odetunji A. Odejobi, and Stephen O. Olabiyisi. "A Needs Assessment for Indigenous African Language-Based Programming Languages." Annals of Science and Technology 4, no. 2 (2019): 1–5. http://dx.doi.org/10.2478/ast-2019-0007.

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AbstractThe development of an African native language-based programming language, using Yoruba as a case study, is envisioned. Programming languages based on the lexicons of indigenous African languages are rare to come by unlike those based on Asian and / or European languages. Availability of programming languages based on lexicons of African indigenous language would facilitate comprehension of problem-solving processes using computer by indigenous learners and teachers as confirmed by research results. In order to further assess the relevance, usefulness and needfulness of such a programmi

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27

Jain, Abhishek, Manohar Kumar, and Manohar Kumar. "System Programming Drawbacks." Journal of Advance Research in Computer Science & Engineering (ISSN: 2456-3552) 2, no. 4 (2015): 16–22. http://dx.doi.org/10.53555/nncse.v2i4.453.

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A system programming language usually refers to a programming language used for system programming; such languages are designed for writing system software, which usually requires different development approaches when compared to application software. System software is computer software designed to operate and control the computer hardware, and to provide a platform for running application software. System software includes software categories such as operating systems, utility software, device drivers, compilers, and linkers. In contrast with application languages, system programming languag

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28

Adawiyah Ritonga and Yahfizham Yahfizham. "Studi Literatur Perbandingan Bahasa Pemrograman C++ dan Bahasa Pemrograman Python pada Algoritma Pemrograman." Jurnal Teknik Informatika dan Teknologi Informasi 3, no. 3 (2023): 56–63. http://dx.doi.org/10.55606/jutiti.v3i3.2863.

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Programming Language is a language used to write computer program codes. Programming languages allow programmers to instruct computers to perform certain tasks. There are many different programming languages such as Python, Java, C++, PHP, JavaScript and so on. This article only focuses on explaining the C++ and Python programming languages. The aim of this article is to find out the differences between the C++ and Python programming languages and to find out the advantages and functions of each programming language. From the results obtained, the two C++ programming languages are more

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29

Muhammad, Hisham, and Roberto Ierusalimschy. "C APIs in Extension and Extensible Languages." JUCS - Journal of Universal Computer Science 13, no. (6) (2007): 839–53. https://doi.org/10.3217/jucs-013-06-0839.

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Scripting languages are used in conjuction with C code in two ways: as extension languages, where the interpreter is embedded as a library into an application; or as extensible languages, where the interpreter loads C code as add-on modules. These two scenarios share many similarities, as in both of them two-way communication of code and data needs to take place. However, the differences between them impose design tradeoffs that affect the C API that bridges the two languages, often making a scripting language more suitable for extending than embedding, or vice-versa. This paper discusses how

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30

TKACHUK, STANISLAV, and OLEKSII MELNYK. "METHODS OF STUDYING THE SEMANTICS OF PROGRAMMING LANGUAGES BY THE STUDENTS OF PROFESSIONAL EDUCATION INSTITUTIONS." Scientific Issues of Ternopil Volodymyr Hnatiuk National Pedagogical University. Series: pedagogy 1, no. 1 (2023): 177–84. http://dx.doi.org/10.25128/2415-3605.23.1.23.

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The article shows that in institutions of professional (vocational and technical) education, the inclusion of a block of questions devoted to the semiotics of programming languages into the content of learning languages and programming methods will contribute to the successful implementation of the system of their fundamental training in the subject field «Information Technologies». The methodological system of education, built within the framework of the methodologicalical theory, helps students acquire knowledge and skills in the semiotics of programming languages. The main theoretical and m

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31

Wirth, Niklaus. "Hardware architectures for programming languages and programming languages for hardware architectures." ACM SIGARCH Computer Architecture News 15, no. 5 (1987): 2–8. http://dx.doi.org/10.1145/36177.36178.

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32

Wirth, Niklaus. "Hardware architectures for programming languages and programming languages for hardware architectures." ACM SIGOPS Operating Systems Review 21, no. 4 (1987): 2–8. http://dx.doi.org/10.1145/36204.36178.

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33

Wirth, Niklaus. "Hardware architectures for programming languages and programming languages for hardware architectures." ACM SIGPLAN Notices 22, no. 10 (1987): 2–8. http://dx.doi.org/10.1145/36205.36178.

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34

Turskienė, Sigita. "Kompiuterinių matematikos sistemų programavimo kalbų lyginamoji analizė." Lietuvos matematikos rinkinys 44 (December 17, 2004): 377–82. http://dx.doi.org/10.15388/lmr.2004.31946.

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The paper analyses possibilities of programming languages of computer mathematics systems. The summary table of operations of 5 programming languages is presented. The advantages and disadvantages between programming languages of computer mathematics systems (MAPLE, MATHEMATICA, MATLAB) and professional programming languages (C/C++, PASCAL) are presented, too. That makes easier the application of computer mathematics systems in practice.

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35

Ghasani Fathonia and Yahfizham Yahfizham. "Analisis Studi Literatur Penyelesaian Operator Aritmatika Serta Bilangan Bulat Dengan Code Sederhana Pada Bahasa Pemrograman C++." SABER : Jurnal Teknik Informatika, Sains dan Ilmu Komunikasi 2, no. 1 (2023): 09–16. http://dx.doi.org/10.59841/saber.v2i1.604.

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In this increasingly sophisticated era, technology is also very often used in any situation. The use of various types of technology is growing so rapidly that learning activities in the field of technology have emerged which are usually called programming. Programming is also very interesting in the eyes of students because there are courses that are directly related to programming, namely Programming Algorithms. In programming, there are several types of languages that are often used, for example the C and C++ programming languages. The C and C++ programming languages are programming lang

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36

Stites, Sam, John M. Li, and Steven Holtzen. "Multi-Language Probabilistic Programming." Proceedings of the ACM on Programming Languages 9, OOPSLA1 (2025): 1239–66. https://doi.org/10.1145/3720482.

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There are many different probabilistic programming languages that are specialized to specific kinds of probabilistic programs. From a usability and scalability perspective, this is undesirable: today, probabilistic programmers are forced up-front to decide which language they want to use and cannot mix-and-match different languages for handling heterogeneous programs. To rectify this, we seek a foundation for sound interoperability for probabilistic programming languages: just as today’s Python programmers can resort to low-level C programming for performance, we argue that probabilistic progr

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37

Guzdial, Mark, and Susan Landau. "Programming programming languages, and analyzing Facebook's failure." Communications of the ACM 61, no. 6 (2018): 8–9. http://dx.doi.org/10.1145/3204443.

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38

Hosseini-Rad, Mina, Majid Abdulrozzagh-Nezzad, and Seyyed-Mohammad Javadi-Moghaddam. "Study of Scheduling in Programming Languages of Multi-Core Processor." Data Science: Journal of Computing and Applied Informatics 2, no. 2 (2019): 101–9. http://dx.doi.org/10.32734/jocai.v2.i2-282.

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Over the recent decades, the nature of multi core processors caused changing the serial programming model to parallel mode. There are several programming languages for the parallel multi core processors and processors with different architectures that these languages have faced programmers to challenges to achieve higher performance. In additional, different scheduling methods in the programming languages for the multi core processors have significant impact on efficiency of the programming languages. Therefore, this article addresses the investigation of the conventional scheduling techniques

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39

Hosseini-Rad, Mina, Majid Abdolrazzagh-Nezhad, and Seyyed-Mohammad Javadi-Moghaddam. "Study of Scheduling in Programming Languages of Multi-Core Processor." Data Science: Journal of Computing and Applied Informatics 2, no. 2 (2018): 101–9. http://dx.doi.org/10.32734/jocai.v2.i2-327.

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Over the recent decades, the nature of multi-core processors caused changing the serial programming model to parallel mode. There are several programming languages for the parallel multi-core processors and processors with different architectures that these languages have faced programmers to challenges to achieve higher performance. In addition, different scheduling methods in the programming languages for the multi-core processors have the significant impact on the efficiency of the programming languages. Therefore, this article addresses the investigation of the conventional scheduling tech

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40

Chete, Fidelis, and Obinna Ikeh. "Towards the Design and Implementation of a Programming Language (Beex)." International Journal of Software Engineering and Computer Systems 8, no. 2 (2022): 51–66. http://dx.doi.org/10.15282/ijsecs.8.2.2022.6.0103.

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Software Engineers, Computer Scientists, and Software Experts alike are faced to decide which programming language is best suited for a certain purpose as the use of programming languages grows. When we consider the various types of programming languages available today, such as Domain Specific Languages (DSL), General Purpose Languages (GPL), Functional Programming Languages (FPL), Imperative Programming Languages (IPL), amongst others, this becomes complicated. In this study, we introduce BeeX, an interpreted language, with the aim of showing the process and principles involved in language d

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41

KOLODIYCHUK, A.V. "Features of application of standard programming languages for the decision of problems of development of national economy." Market Relations Development in Ukraine №10(245)2021 108 (December 28, 2021): 20–24. https://doi.org/10.5281/zenodo.5807255.

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The subject of the research is the peculiarities of the application of standard programming languages for solving the problems of national economy development. The purpose of the research is to determine the characteristic features of the use of standard programming languages to solve problems of national economy. Research methods. The dialectical method of scientific cognition, the method of analysis and synthesis, the comparative method, the method of generalization of data are used in the work. Results of work. The paper highlights the strengths and weaknesses of typical programming languag

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42

Sushil, Kumar*1 &. Richa Aggarwal2. "COMPARISON OF PYTHON (AN OPEN SOURCE PROGRAMMING LANGUAGE) WITH OTHER PROGRAMMING LANGUAGES." Global Journal of Engineering Science and Researches 5, no. 1 (2018): 60–63. https://doi.org/10.5281/zenodo.1156358.

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Language is a communication tool through which we can communicate with each other like Hindi, English etc any other language. So if we want to communicate with computer, we need computer programming languages. So in computer we have two types of languages, one is low level language which is easily understood by computer but diff

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43

Usoltseva, Natalia, and Yuri Usoltsev. "Programming Language as Eligible One: Legal Aspects." Legal Linguistics, no. 30(41) (December 29, 2023): 95–101. http://dx.doi.org/10.14258/leglin(2023)3016.

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The article examines the situation with the introduction of programming languages as an eligible element and the possibilities of recognizing programming languages as acceptable and recognized by the state. It is the case now that the issues of the existence and application of programming languages for social regulations cause significant debate, although in fact we are talking only about smart contracts and the use of programming languages for their writing and launching. In other situations of professional use of programming languages, significant legal issues have not yet been raised so acu

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44

Nigiyan, S. A. "$ \lambda $-DEFINABILITY OF BUILT-IN McCARTHY FUNCTIONS AS FUNCTIONS WITH INDETERMINATE VALUES OF ARGUMENTS." Proceedings of the YSU A: Physical and Mathematical Sciences 53, no. 3 (250) (2019): 191–202. http://dx.doi.org/10.46991/pysu:a/2019.53.3.191.

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The built-in functions of programming languages are functions with indeterminate values of arguments. The built-in McCarthy functions $ car $, $ cdr $, $ cons $, $ null $, $ atom $, $ if $, $ eq $, $ not $, $ and $, $ or $, are used in all functional programming languages. In this paper we show the $ \lambda $-definability of the built-in McCarthy functions as functions with indeterminate values of arguments. This result is necessary when translating typed functional programming languages into untyped functional programming languages.

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45

Azad M. San Ahmed, Rania, Sardasht M-Raouf Mahmood, Rebwar M. Nabi, and Dana L. Hussein. "The Impact of Teaching Materials on Learning Computer Programming Languages in Kurdistan Region Universities and Institutes." Kurdistan Journal of Applied Research 3, no. 1 (2018): 27–33. http://dx.doi.org/10.24017/science.2018.1.7.

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It is evident that learning and teaching computer programming are considered as one of the striking challenges in academic environments. Meanwhile, selecting the correct and appropriate materials can leave an enormous impact in learning computer programming languages. However, recently this argument has been put under scrutiny as to which types of materials motivate learners to learn computer programming languages as well as enhance learning outcomes. Therefore, the main objective of this study is to investigate the current teaching and learning materials of computer programming languages in K

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Gorodnyaya, L. V. "Visualization of the Results of the Analysis of Programming Languages for Their Superficial Comparison." Vestnik NSU. Series: Information Technologies 19, no. 2 (2021): 29–52. http://dx.doi.org/10.25205/1818-7900-2021-19-2-29-52.

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The article is devoted to the choice of a clear and concise form for presenting the results of analise and comparing programming languages and systems, convenient for assessing the expressive power of languages and the complexity of implementing systems. The formalization is adapted to the paradigm analysis of the definitions of programming languages and the selection of practical criteria for decomposition of programs. The semantic decomposition of the definitions of languages and systems as part of the analysis of programming paradigms was chosen as the main ap-proach. Such a choice makes it

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Cummins, Fred A. "Object-oriented programming languages." ACM SIGPLAN OOPS Messenger 4, no. 2 (1993): 81–83. http://dx.doi.org/10.1145/157710.157725.

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Maxim, Bruce R. "Programming languages—comparatively speaking." ACM SIGCSE Bulletin 25, no. 1 (1993): 25–29. http://dx.doi.org/10.1145/169073.169092.

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Haftmann, Florian, Cezary Kaliszyk, and Walther Neuper. "CTP-based programming languages?" ACM Communications in Computer Algebra 44, no. 1/2 (2010): 27–41. http://dx.doi.org/10.1145/1838599.1838621.

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Foster, Ian. "Compositional parallel programming languages." ACM Transactions on Programming Languages and Systems 18, no. 4 (1996): 454–76. http://dx.doi.org/10.1145/233561.233565.

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