Relevant bibliographies by topics / Programming languages

Contents

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

Academic literature on the topic 'Programming languages'

Author: Grafiati
Published: 4 June 2021
Last updated: 30 July 2024

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Journal articles on the topic "Programming languages"

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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 (January 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 to solve the same. To demonstrate the working of developed framework, a case study consisting of the selection of seven programming languages is presented. The results of this study depict that Python is the most preferred language compared to other object-oriented programming languages. Selection of OOP languages helps to select the most appropriate language, which provides better opportunities in the business domain and will result in high success for engineering students.
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Tratt, Laurence, and Adam Welc. "Programming Languages." IEEE Software 31, no. 5 (September 2014): 33–34. http://dx.doi.org/10.1109/ms.2014.119.

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

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Wand, Mitchell, and Daniel P. Friedman. "Programming languages." ACM SIGPLAN Notices 43, no. 11 (November 30, 2008): 133–35. http://dx.doi.org/10.1145/1480828.1480857.

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

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

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

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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 (November 10, 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 focused on Windows development, while Python is more often used in software development and the C++ programming language is more difficult to understand than the Python programming language.
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Rock, S. T. "Developing robot programming languages using an existing language as a base—A viewpoint." Robotica 7, no. 1 (January 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 programming languages in terms of their appropriateness for use as the base for an intelligent robot programming language is presented. This leads to the conclusion that no current language forms an adequate base for intelligent robot programming languages. What is needed as a base is a language for use in the artificial intelligence domain, that incorporates real-time facilities.
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Jain, Abhishek, Manohar Kumar, and Manohar Kumar. "System Programming Drawbacks." Journal of Advance Research in Computer Science & Engineering (ISSN: 2456-3552) 2, no. 4 (April 30, 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 languages typically offer more-direct access to the physical hardware of the machine: an archetypical system programming language in this sense was BCPL. System programming languages often lack built in input/output facilities because a system-software project usually develops its own input/output or builds on basic monitor I/O or screen management services facilities. The distinction between languages for system programming and applications programming became blurred with widespread popularity of PL/I, C and Pascal.
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Dissertations / Theses on the topic "Programming languages"

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Cook, Jonathan J. "Language interoperability and logic programming languages." Thesis, University of Edinburgh, 2005. http://hdl.handle.net/1842/725.

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We discuss P#, our implementation of a tool which allows interoperation between a concurrent superset of the Prolog programming language and C#. This enables Prolog to be used as a native implementation language for Microsoft's .NET platform. P# compiles a linear logic extension of Prolog to C# source code. We can thus create C# objects from Prolog and use C#'s graphical, networking and other libraries. P# was developed from a modified port of the Prolog to Java translator, Prolog Cafe. We add language constructs on the Prolog side which allow concurrent Prolog code to be written. We add a primitive predicate which evaluates a Prolog structure on a newly forked thread. Communication between threads is based on the unification of variables contained in such a structure. It is also possible for threads to communicate through a globally accessible table. All of the new features are available to the programmer through new built-in Prolog predicates. We present three case studies. The first is an application which allows several users to modify a database. The users are able to disconnect from the database and to modify their own copies of the data before reconnecting. On reconnecting, conflicts must be resolved. The second is an object-oriented assistant, which allows the user to query the contents of a C# namespace or Java package. The third is a tool which allows a user to interact with a graphical display of the inheritance tree. Finally, we optimize P#'s runtime speed by translating some Prolog predicates into more idiomatic C# code than is produced by a naive port of Prolog Cafe. This is achieved by observing that semi-deterministic predicates (being those which always either fail or succeed with exactly one solution) that only call other semi-deterministic predicates enjoy relatively simple control flow. We make use of the fact that Prolog programs often contain predicates which operate as functions, and that such predicates are usually semi-deterministic.
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Samsonenko, L. U., and M. O. Sasyuk. "Different programming languages." Thesis, Сумський державний університет, 2013. http://essuir.sumdu.edu.ua/handle/123456789/33800.

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The rise of BASIC is very much a phenomenon of the mid 70’s and early 80’s. It comes as something of a surprise to discover that it was actually born in the 60’s. BASIC was designed by John Kemeny and Thomas Kurtz at Dartmouth College, in the USA. When you are citing the document, use the following link http://essuir.sumdu.edu.ua/handle/123456789/33800
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Kennedy, Andrew John. "Programming languages and dimensions." Thesis, University of Cambridge, 1995. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.242978.

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Stryzhachenko, К. О., and M. Y. Tykhomirova. "The esoteric programming languages." Thesis, Сумський державний університет, 2013. http://essuir.sumdu.edu.ua/handle/123456789/33872.

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An esoteric programming language is a programming language designed to test the boundaries of computer programming language design, as a proof of concept, or as a joke, for example: Lolcode is designed to resemble the speech of lolcats. The following is the “hello world” example: in all lolcode programs, hai (“Hi!”) introduces the program. In many programming languages, one of the first statements will be a library inclusion for common functions such as input and output. When you are citing the document, use the following link http://essuir.sumdu.edu.ua/handle/123456789/33872
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Warth, Alessandro. "Experimenting with programming languages." Diss., Restricted to subscribing institutions, 2009. http://proquest.umi.com/pqdweb?did=1723135581&sid=1&Fmt=2&clientId=1564&RQT=309&VName=PQD.

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BASTOS, JOAO ANTONIO DUTRA MARCONDES. "SUPPORT FOR COMPUTATIONAL THINKING KNOWLEDGE TRANSFER FROM VISUAL PROGRAMMING LANGUAGES TO TEXTUAL PROGRAMMING LANGUAGES." PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO, 2015. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=25694@1.

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PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO
COORDENAÇÃO DE APERFEIÇOAMENTO DO PESSOAL DE ENSINO SUPERIOR
PROGRAMA DE EXCELENCIA ACADEMICA
Produzir tecnologia tem se mostrado uma habilidade cada vez mais indispensável na sociedade moderna. Os usuários estão deixando de ser simples consumidores e passando a ser produtores, usando a tecnologia para expressarem suas ideias. Nesse contexto, o aprendizado do chamado raciocínio computacional deve ser tão importante quanto o de disciplinas básicas, como a leitura, a escrita e a aritmética. Ao desenvolver tal habilidade o aluno vai conseguir se expressar através do software. Diversos projetos ao redor do mundo têm suas tecnologias e didáticas próprias a fim de auxiliar o aluno a desenvolver tal capacidade. Porém, sabemos que em um contexto que está em constante evolução como é o caso da informática, não podemos deixar que o aluno fique preso a uma única ferramenta ou meio de se expressar. Ferramentas podem ficar obsoletas e ele perderia seu poder de produtor de tecnologia. Pensando nisso, foi elaborado um modelo de transferência do aprendizado do raciocínio computacional a ser incorporado a sistemas de documentação ativa que apoiam o ensino-aprendizado desta habilidade. O modelo auxiliará o designer na criação de um artefato tecnológico que seja capaz de ajudar alunos e professores a aprenderem uma nova linguagem de programação. O modelo, que é baseado na Engenharia Semiótica, é a principal contribuição científica dessa dissertação de mestrado.
Producing technology has been an increasingly essential ability in modern society. The users are no longer simple consumers but actually, also, technology producers, using technology to express their ideas. In this context, the learning of the so-called computational thinking should be as important as learning basic disciplines such as reading, writing and arithmetic. As long as the student can develop this ability, he will be able to express himself or herself through the software. Many projects around the world have their own technologies and pedagogy to help the student develop such capacity. However, we know that in a context that is constantly evolving as is the case of informatics, we cannot allow the student to be attached to a single tool or means. Tools may become obsolete and students would lose their technology producer status. With this in mind, we designed a learning transfer model of computational thinking, which will assist the designer in the creation of a technological artifact to help students and teachers learn a new programming language. The model, which is based on the Semiotic Engineering, is the main scientific contribution of this master s dissertation.
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Tonchev, Ognyan, and Mohammed Salih. "High-level programming languages translator." Thesis, Blekinge Tekniska Högskola, Avdelningen för för interaktion och systemdesign, 2008. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-2560.

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This paper discusses a high level language translator. If we divide translators of programming languages in two types: those working for two specific languages and universal translators that can be used for translation between different programming languages, the solution that will be presented in this work can be classified as both, specific language oriented and an universal translator. For the purpose of the research it was limited to translate only from Java to C++, but it can easily be extended to translate between any other high level languages. For simplifying the process of translation the project uses an intermediate step. All programs in the input language are first compiled to an abstract XML language and then to the desired output language. That way it is not necessary to translate directly from one programming language to another which is a very tricky and difficult task and could make the solution difficult to be maintained and extended. Hence the translator can also be used to translate from any high level language to XML. That gives another advantage to our solution: an XML representation of a computer program is valuable information by itself. We describe the design and implementation of the solution, demonstrate how it works and also give information on how it can be extended to work for any other programming language.
This paper discusses a high level language translator. If we divide translators of programming languages in two types: those working for two specific languages and universal translators that can be used for translation between different programming languages, the solution that will be presented in this work can be classified as both, specific language oriented and an universal translator. For the purpose of the research it was limited to translate only from Java to C++, but it can easily be extended to translate between any other high level languages. For simplifying the process of translation the project uses an intermediate step. All programs in the input language are first compiled to an abstract XML language and then to the desired output language. That way it is not necessary to translate directly from one programming language to another which is a very tricky and difficult task and could make the solution difficult to be maintained and extended. Hence the translator can also be used to translate from any high level language to XML. That gives another advantage to our solution: an XML representation of a computer program is valuable information by itself. We describe the design and implementation of the solution, demonstrate how it works and also give information on how it can be extended to work for any other programming language.
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Roe, Paul. "Parallel programming using functional languages." Thesis, Connect to e-thesis, 1991. http://theses.gla.ac.uk/1052.

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Vacchi, E. "PROGRAMMING LANGUAGES À LA CARTE." Doctoral thesis, Università degli Studi di Milano, 2015. http://hdl.handle.net/2434/263620.

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Code reuse in computer language development is an open research problem. Feature-oriented programming is a vision of computer programming in which features can be implemented separately, and then combined to build a variety of software products; the idea of combining feature orientation and language development is relatively recent. Many frameworks for modular language development have been proposed during the years, but, although there is a strong connection between modularity and feature-orientation development, only few of these frameworks provide primitives to combine these two concepts. This work presents a model of modular language development that is directed towards feature orientation. We describe its implementation in the Neverlang framework. The model has been evaluated through several experiences: among the others, we present a code generator for a state machine language, that we use as a means to compare to other state-of-the-art frameworks, and a JavaScript interpreter implementation that further illustrates the capabilities of our solution.
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Michlowitz, Jason Lawrence. "A methodology for mapping programming languages to programming problems /." View online, 2006. http://ecommons.txstate.edu/cscitad/2.

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Books on the topic "Programming languages"

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Open University. Programming and Programming Languages Course Team., ed. Programming and programming languages. Milton Keynes: Open University Press, 1986.

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Open University. Programming and Programming Languages Course Team., ed. Programming and programming languages. Milton Keynes: Open University Press, 1990.

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Tucker, Allen B. Programming languages. 2nd ed. New York: McGraw-Hill, 1986.

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Pardo, Alberto, and S. Doaitse Swierstra, eds. Programming Languages. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-24012-1.

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Du Bois, André Rauber, and Phil Trinder, eds. Programming Languages. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-40922-6.

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Castor, Fernando, and Yu David Liu, eds. Programming Languages. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-45279-1.

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Quintão Pereira, Fernando Magno, ed. Programming Languages. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-11863-5.

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de Carvalho Junior, Francisco Heron, and Luis Soares Barbosa, eds. Programming Languages. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-33182-4.

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Thielscher, Michael. ACTION PROGRAMMING LANGUAGES. Cham: Springer International Publishing, 2008. http://dx.doi.org/10.1007/978-3-031-01547-2.

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Bal, Henri E., Boumediene Belkhouche, and Luca Cardelli, eds. Internet Programming Languages. Berlin, Heidelberg: Springer Berlin Heidelberg, 1999. http://dx.doi.org/10.1007/3-540-47959-7.

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Book chapters on the topic "Programming languages"

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Mosses, Peter D. "Programming Language Description Languages." In Formal Methods: State of the Art and New Directions, 249–73. London: Springer London, 2009. http://dx.doi.org/10.1007/978-1-84882-736-3_8.

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Chivers, Ian. "Programming Languages." In Essential Linux fast, 197–206. London: Springer London, 2001. http://dx.doi.org/10.1007/978-1-4471-0301-1_12.

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Blum, Bruce I. "Programming Languages." In Tutorials, 29–36. New York, NY: Springer New York, 1988. http://dx.doi.org/10.1007/978-1-4612-3726-6_4.

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He, Harry. "Programming Languages." In Coding Interviews, 13–32. Berkeley, CA: Apress, 2012. http://dx.doi.org/10.1007/978-1-4302-4762-3_2.

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Blum, Bruce I. "Programming Languages." In Clinical Information Systems, 112–49. New York, NY: Springer US, 1986. http://dx.doi.org/10.1007/978-1-4613-8593-6_4.

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Boyle, John. "Programming Languages." In Bioinformatics, 403–40. New York, NY: Springer New York, 2009. http://dx.doi.org/10.1007/978-0-387-92738-1_19.

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Blum, Bruce I. "Programming Languages." In Clinical Information Systems, 112–49. Berlin, Heidelberg: Springer Berlin Heidelberg, 1986. http://dx.doi.org/10.1007/978-3-662-26537-6_4.

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Turner, Raymond. "Programming Languages." In Computational Artifacts, 67–76. Berlin, Heidelberg: Springer Berlin Heidelberg, 2018. http://dx.doi.org/10.1007/978-3-662-55565-1_8.

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Leasure, Bruce, David J. Kuck, Sergei Gorlatch, Murray Cole, Gregory R. Watson, Alain Darte, David Padua, et al. "Programming Languages." In Encyclopedia of Parallel Computing, 1637–38. Boston, MA: Springer US, 2011. http://dx.doi.org/10.1007/978-0-387-09766-4_2039.

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Winnie, Doug. "Programming Languages." In Essential Java for AP CompSci, 13–16. Berkeley, CA: Apress, 2021. http://dx.doi.org/10.1007/978-1-4842-6183-5_4.

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Conference papers on the topic "Programming languages"

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Rosenan, Boaz. "Designing language-oriented programming languages." In the ACM international conference companion. New York, New York, USA: ACM Press, 2010. http://dx.doi.org/10.1145/1869542.1869576.

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Ari, Niyazi, and Nuraiym Mamatnazarova. "Programming languages." In 2014 11th International Conference on Electronics, Computer and Computation (ICECCO). IEEE, 2014. http://dx.doi.org/10.1109/icecco.2014.6997548.

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Guzdial, M., W. M. McCracken, and A. Elliott. "Task specific programming languages as a first programming language." In Proceedings Frontiers in Education 1997 27th Annual Conference. Teaching and Learning in an Era of Change. IEEE, 1997. http://dx.doi.org/10.1109/fie.1997.632675.

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Westbrook, Edwin. "Session details: Languages and language technology 2." In GPCE'10: Generative Programming and Component Engineering. New York, NY, USA: ACM, 2010. http://dx.doi.org/10.1145/3254511.

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Ryu, Sukyoung. "Session details: Languages and language technology 1." In GPCE'10: Generative Programming and Component Engineering. New York, NY, USA: ACM, 2010. http://dx.doi.org/10.1145/3254508.

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Nance, Richard E. "Simulation programming languages." In the 27th conference. New York, New York, USA: ACM Press, 1995. http://dx.doi.org/10.1145/224401.224812.

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Annevelink, Jurgen. "Database programming languages." In the 1991 ACM SIGMOD international conference. New York, New York, USA: ACM Press, 1991. http://dx.doi.org/10.1145/115790.115841.

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Markstrum, Shane. "Session details: Programming languages and programming." In SPLASH '11: Conference on Systems, Programming, and Applications: Software for Humanity. New York, NY, USA: ACM, 2011. http://dx.doi.org/10.1145/3256288.

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Konat, Gabriël, Sebastian Erdweg, and Eelco Visser. "Bootstrapping domain-specific meta-languages in language workbenches." In GPCE '16: Generative Programming: Concepts and Experiences. New York, NY, USA: ACM, 2016. http://dx.doi.org/10.1145/2993236.2993242.

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Wirth, Niklaus. "Hardware architectures for programming languages and programming languages for hardware architectures." In ASPLOS II: Architectual support for programming languages and operating systems. New York, NY, USA: ACM, 1987. http://dx.doi.org/10.1145/36206.36178.

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Reports on the topic "Programming languages"

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Anderson, John R. Transfer of Skills Among Programming Languages. Fort Belvoir, VA: Defense Technical Information Center, June 1995. http://dx.doi.org/10.21236/ada298506.

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Garlan, David, and Curtis Scott. Reactive Integration for Traditional Programming Languages. Fort Belvoir, VA: Defense Technical Information Center, December 1992. http://dx.doi.org/10.21236/ada263986.

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Cuginia, John V. Programming languages for knowledge-based systems. Gaithersburg, MD: National Bureau of Standards, 1987. http://dx.doi.org/10.6028/nbs.sp.500-145.

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Wu, Quanfeng, and John R. Anderson. Problem-Solving Transfer Among Programming Languages. Fort Belvoir, VA: Defense Technical Information Center, June 1990. http://dx.doi.org/10.21236/ada225798.

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Volpano, Dennis. Provably-Secure Programming Languages for Remote Evaluation. Fort Belvoir, VA: Defense Technical Information Center, December 1996. http://dx.doi.org/10.21236/ada486684.

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Basili, Victor R., John D. Gannon, and Marvin V. Zelkowitz. Research in Programming Languages and Software Engineering. Fort Belvoir, VA: Defense Technical Information Center, September 1992. http://dx.doi.org/10.21236/ada256341.

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Aruoba, S. Borağan, and Jesús Fernández-Villaverde. A Comparison of Programming Languages in Economics. Cambridge, MA: National Bureau of Economic Research, June 2014. http://dx.doi.org/10.3386/w20263.

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Basili, Victor R., John D. Gannon, and Marvin V. Zelkowitz. Research in Programming Languages and Software Engineering. Fort Belvoir, VA: Defense Technical Information Center, January 1990. http://dx.doi.org/10.21236/ada217765.

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Kelleher, Caitlin, and Randy Pausch. Lowering the Barriers to Programming: A Survey of Programming Environments and Languages for Novice Programmers. Fort Belvoir, VA: Defense Technical Information Center, May 2003. http://dx.doi.org/10.21236/ada457911.

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Murphy, Richard C. Workshop on programming languages for high performance computing (HPCWPL): final report. Office of Scientific and Technical Information (OSTI), May 2007. http://dx.doi.org/10.2172/909912.

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