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Journal articles on the topic 'Programming tools'

Author: Grafiati

Published: 4 June 2021

Last updated: 26 July 2025

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1

Fineblum, Michelle, and Henry Lieberman. "STORYBOARD-BASED PROGRAMMING TOOLS." ACM SIGCHI Bulletin 23, no. 4 (1991): 81–82. http://dx.doi.org/10.1145/126729.1056078.

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2

Saltz, Joel, Alan Sussman, Susan Graham, James Demmel, Scott Baden, and Jack Dongarra. "Programming tools and environments." Communications of the ACM 41, no. 11 (1998): 64–73. http://dx.doi.org/10.1145/287831.287841.

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3

Bogunovi�, Hrvoje. "Java Tools for Extreme Programming." Journal of Computing and Information Technology 11, no. 2 (2003): 143. http://dx.doi.org/10.2498/cit.2003.02.07.

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4

Herbert, Ric D. "Modelling programming languages – appropriate tools?" Journal of Economic and Social Measurement 29, no. 1-3 (2004): 321–37. http://dx.doi.org/10.3233/jem-2004-0198.

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5

Smith, David Canfield. "Building personal tools by programming." Communications of the ACM 43, no. 8 (2000): 92–95. http://dx.doi.org/10.1145/345124.345157.

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6

Tippmann, Sylvia. "Programming tools: Adventures with R." Nature 517, no. 7532 (2014): 109–10. http://dx.doi.org/10.1038/517109a.

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7

MORIARTY, K. J. M., and T. TRAPPENBERG. "PROGRAMMING TOOLS FOR PARALLEL COMPUTERS." International Journal of Modern Physics C 04, no. 06 (1993): 1285–94. http://dx.doi.org/10.1142/s0129183193001002.

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Although software tools already have a place on serial and vector computers they are becoming increasingly important for parallel computing. Message passing libraries, parallel operating systems and high level parallel languages are the basic software tools necessary to implement a parallel processing program. These tools up to now have been specific to each parallel computer system and a short survey will be given. The aim of another class of software tools for parallel computers is to help in writing or rewriting application programs. Because automatic parallelization tools are not very succ

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8

Lipps, H., and G. A. Erskine. "Programming tools for linear algebra." ACM SIGNUM Newsletter 20, no. 3 (1985): 50–53. http://dx.doi.org/10.1145/1057947.1057952.

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9

Powers, Kris, Paul Gross, Steve Cooper, et al. "Tools for teaching introductory programming." ACM SIGCSE Bulletin 38, no. 1 (2006): 560–61. http://dx.doi.org/10.1145/1124706.1121514.

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10

Vassilev, V., A. Deyanov, V. Djambov, and M. Kitchovitch. "Software Tools for Nonlinear Programming." IFAC Proceedings Volumes 23, no. 8 (1990): 403–7. http://dx.doi.org/10.1016/s1474-6670(17)51949-7.

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11

Kapitonova, Yu V., and A. A. Letichevskii. "Algebraic programming: Methods and tools." Cybernetics and Systems Analysis 29, no. 3 (1993): 307–12. http://dx.doi.org/10.1007/bf01125535.

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12

Man, K. "UNIX programming methods and tools." Advances in Engineering Software 15, no. 1 (1992): 74. http://dx.doi.org/10.1016/0965-9978(92)90048-k.

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13

Bravo, Crescencio, Maria Marcelino, Anabela Gomes, Micaela Esteves, and Antonio Mendes. "Integrating Educational Tools for Collaborative Computer Programming Learning." JUCS - Journal of Universal Computer Science 11, no. (9) (2005): 1505–17. https://doi.org/10.3217/jucs-011-09-1505.

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Computer Programming learning is a difficult process. Experience has demonstrated that many students find it difficult to use programming languages to write programs that solve problems. In this paper we describe several educational computer tools used successfully to support Programming learning and we present a global environment which integrates them, allowing a broader approach to Programming teaching and learning. This environment uses program animation and the Computer-Supported Collaborative Learning (CSCL) paradigm.

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14

Schümmer, Till, and Stephan Lukosch. "Understanding Tools and Practices for Distributed Pair Programming." JUCS - Journal of Universal Computer Science 15, no. (16) (2009): 3101–25. https://doi.org/10.3217/jucs-015-16-3101.

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When considering the principles for eXtreme Programming, distributed eXtreme Programming, especially distributed pair programming, is a paradox predetermined to failure. However, global software development as well as the outsourcing of software development are integral parts of software projects. Hence, the support for distributed pair programming is still a challenging field for tool developers so that failure for distributed pair programming becomes less mandatory. In this paper, we analyse the social interaction in distributed pair programming and investigate how current technology support

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15

Gautam, Shikha. "COMPARISON OF JAVA PROGRAMMING TESTING TOOLS." International Journal of Engineering Technologies and Management Research 5, no. 2 (2020): 66–76. http://dx.doi.org/10.29121/ijetmr.v5.i2.2018.147.

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Various testing tools have been used to find defects and measure quality of software which have been developed in different languages. This paper provides the overview of various testing tools and analyzed Java programming testing tools because Java programming is very important due to its mature nature to develop software. Java testing tools are analyzed based on various quality attributes. Analysis shows that selection of testing tool depends on requirement.

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16

Alcalá, Francisco J., Jaime Martínez-Valderrama, Francisco Gomáriz-Castillo, Carlos G. Hernández, and José M. Cecilia. "Scientific Programming Tools for Water Management." Scientific Programming 2021 (July 10, 2021): 1–3. http://dx.doi.org/10.1155/2021/9828596.

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This special issue delivers a platform in which researchers expose intersections between algorithm design, software platforms, and hardware architectures to deal with emerging challenges in the scientific field of management of water and water-dependent resources. Since the call for papers was announced in June 2019, this special issue has received 10 manuscripts. After a rigorous review process, 6 papers have been finally accepted for publication. Published papers deal with groundwater quality monitoring, coastal groundwater-dependent irrigation agriculture, desertification risk, water recove

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17

Gołębski, Rafał. "Parametric programming of CNC machine tools." MATEC Web of Conferences 94 (2017): 07004. http://dx.doi.org/10.1051/matecconf/20179407004.

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18

Conlon, T., and S. Gregory. "Debugging Tools for Concurrent Logic Programming." Computer Journal 35, no. 2 (1992): 157–69. http://dx.doi.org/10.1093/comjnl/35.2.157.

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19

Medzhitova, L. M., R. T. Fazilova, and E. I. Ablyalimova. "MULTIMEDIA INTERACTIVE TOOLS IN PROGRAMMING TEACHING." Information Technologies in Education, no. 10 (July 25, 2011): 110–16. http://dx.doi.org/10.14308/ite000273.

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20

Frater, K. "Review: Java Tools for eXtreme Programming." Computer Bulletin 45, no. 2 (2003): 30. http://dx.doi.org/10.1093/combul/45.2.30.

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21

Nieszporek, Tadeusz, and Andrzej Piotrowski. "Parametric Programming of CNC Machine Tools." Applied Mechanics and Materials 282 (January 2013): 203–10. http://dx.doi.org/10.4028/www.scientific.net/amm.282.203.

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CNC machine tools are increasingly often used in industry, and the development of the methods of their programming is also proceeding. Modern multipurpose multi-axial machine tools are programmed using special CAD/CAM software programs. Universal special programs for controlling CNC machine tools can, however, be generated in programs written in high-level languages. An example can be the machining of gears on universal CNC machine tools using versatile machining tools.

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22

AZUMA, Yoshitaka, Kin'ichi INAGAKI, and Shigeru KAJI. "LANC Programming in NC Machine Tools." Proceedings of The Computational Mechanics Conference 2014.27 (2014): 865–66. http://dx.doi.org/10.1299/jsmecmd.2014.27.865.

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23

Brusilovsky, Peter, Sergey Sosnovsky, Michael V. Yudelson, Danielle H. Lee, Vladimir Zadorozhny, and Xin Zhou. "Learning SQL Programming with Interactive Tools." ACM Transactions on Computing Education 9, no. 4 (2010): 1–15. http://dx.doi.org/10.1145/1656255.1656257.

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24

LaToza, Thomas D. "Information Needs: Lessons for Programming Tools." IEEE Software 37, no. 6 (2020): 52–57. http://dx.doi.org/10.1109/ms.2020.3014343.

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25

Moisan, B., Y. Duthen, and R. Caubet. "Tools for object-oriented SPMD programming." Microprocessing and Microprogramming 38, no. 1-5 (1993): 189–96. http://dx.doi.org/10.1016/0165-6074(93)90143-9.

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26

Kumar, Swarn P., and Ivor R. Philips. "Portable tools for Fortran parallel programming." Concurrency: Practice and Experience 3, no. 6 (1991): 559–72. http://dx.doi.org/10.1002/cpe.4330030606.

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27

Bdiwi, Mohamad. "Intuitive Robot Programming and Intelligent Tools." IST International Surface Technology 16, no. 2 (2023): 8–9. http://dx.doi.org/10.1007/s35724-022-1138-6.

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28

Shikha, Gautam. "COMPARISON OF JAVA PROGRAMMING TESTING TOOLS." International Journal of Engineering Technologies and Management Research 5, no. 2 (2018): 66–76. https://doi.org/10.5281/zenodo.1179382.

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<strong><em>Various testing tools have been used to find defects and measure quality of software which have been developed in different languages. This paper provides the overview of various testing tools and analyzed Java programming testing tools because Java programming is very important due to its mature nature to develop software. Java testing tools are analyzed based on various quality attributes. Analysis shows that selection of testing tool depends on requirement</em>.</strong>

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29

Patil, Prof Ashwini, Prof Dadaso Mane, and Prof Nitish Shinde. "Incorporating Visualization Tools and Active Learning Approach for Programming Courses." Journal of Engineering Education Transformations 35, S1 (2022): 92–102. http://dx.doi.org/10.16920/jeet/2022/v35is1/22014.

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Programming languages are a vital domain for Computer and Information Technology engineering. The programming languages like C, C++, Java, Python, Mobile Application Development, and Web Technologies are important programming courses in CSE and IT curriculum. Understanding the programming courses includes a basic understanding of the syntax of programming language, logical & critical thinking to solve the problem, use of various editors to write and execute the program. Effective delivery of the programming course creates a great deal of influence on student’s interest in programming and s

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30

Kanika, Shampa Chakraverty, and Pinaki Chakraborty. "Tools and Techniques for Teaching Computer Programming: A Review." Journal of Educational Technology Systems 49, no. 2 (2020): 170–98. http://dx.doi.org/10.1177/0047239520926971.

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Courses on computer programming are included in the curricula of almost all engineering disciplines. We surveyed the research literature and identified the techniques that are commonly used by instructors for teaching these courses. We observed that visual programming and game-based learning can enhance computational thinking and problem-solving skills in students and may be used to introduce them to programming. Robot programming may be used to attract students to programming, but the success of this technique is subjected to the availability of robots. Pair and collaborative programming allo

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31

Sharad, R. Jadhav. "Study of Different Software Testing Automation Tools." Journal of Computer Science Engineering and Software Testing 5, no. 1 (2019): 13–19. https://doi.org/10.5281/zenodo.2532875.

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Programming is Set of code or projects. Programming building characterizes as the use of a methodical, taught, quantifiable way to deal with the advancement, task, and support of programming. Testing is correlation of anticipated yield and genuine yield. Programming testing is a procedure, to assess the usefulness of a product application with an expectation to discover whether the created programming met the predefined necessities or not and to recognize the deformities to guarantee that the item is without imperfection so as to deliver the quality item. Testing is extensively partition in to

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32

Bozhko, I., G. Chetverykov, and Y. Kolisnyk. "The Q# programming language investigation." Bionics of Intelligence 1, no. 90 (2018): 18–23. https://doi.org/10.30837/bi.2018.1(90).02.

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This work is the investigation of the current state of the existing tools for quantum computing, especially the Q# programming language as the most developed tool for this nowadays. Since quantum computing is one of the main research area today, the respective tools are being created. These tools should simplify the development of quantum programs, on the one hand, and provide some platform for testing and running them, on the other hand. So the authors investigated the currently available tools and provided the results in the article.

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33

Martins, Fernanda Adorno, and Danielli Araujo Lima. "Gamified learning tools and technology in education: a systematic exploration study of programming tools during the pandemic." RENOTE 22, no. 1 (2024): 394–403. http://dx.doi.org/10.22456/1679-1916.141565.

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Programming is vital for nurturing logical thinking, problem-solving, and effective decision-making in an increasingly digital world. Gamification plays a crucial role in education by integrating game elements to enhance engagement and motivation, particularly during times like the pandemic. In this context, teaching programming with a gamified approach not only makes learning enjoyable and engaging but also fosters problem-solving and logical thinking skills. This study aims to conduct a systematic literature review, focusing on the significant challenges and opportunities in teaching program

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34

Golubnichiy, A., and K. Chernyavskaya. "Modern methods and tools for teaching programming." Bulletin of Science and Practice 4, no. 6 (2018): 368–72. https://doi.org/10.5281/zenodo.1290040.

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The main approaches and tools for teaching programming are considered. The main resources for studying both separate programming languages and complex projects are analyzed. The advantages and disadvantages of individual systems are considered.

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35

Licea, Guillermo, J. Reyes Juárez, Luis G. Martínez, and Leocundo Aguilar. "Developing programming tools to reach a deeper understanding of advanced programming concepts." Computer Applications in Engineering Education 16, no. 4 (2008): 305–14. http://dx.doi.org/10.1002/cae.20127.

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36

Ryabov, Nikita, Olga Ivancova, Vladimir Korenkov, and Sergey Ulyanov. "Quantum programming. Pt.1: Development tools analysis." System Analysis in Science and Education, no. 3 (2020) (September 30, 2020): 53–64. http://dx.doi.org/10.37005/2071-9612-2020-3-53-64.

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This article is the first part in a series of articles about quantum programming. The article discusses the tools of developing quantum programs Quantum Developer Kit with the quantum programming language Q # and the Qiskit framework. Superposition, entanglement, and teleportation are implemented using both development tools. The purpose of the work is to select the most suitable tool for the further implementation of solutions to various problems using quantum computing.

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37

Sarode, P. R., and R. N. Jugele. "Aspect Oriented Programming Tools for .Net Framework." International Journal of Computer Sciences and Engineering 7, no. 1 (2019): 533–38. http://dx.doi.org/10.26438/ijcse/v7i1.533538.

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38

Fernandez Aleman, José Luis. "Automated Assessment in a Programming Tools Course." IEEE Transactions on Education 54, no. 4 (2011): 576–81. http://dx.doi.org/10.1109/te.2010.2098442.

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39

Thomsen, Bent. "Programming languages, analysis tools, and concurrency theory." ACM Computing Surveys 28, no. 4es (1996): 57. http://dx.doi.org/10.1145/242224.242297.

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40

BEMMERL, THOMAS, and BERNHARD RIES. "PROGRAMMING TOOLS FOR DISTRIBUTED MULTIPROCESSOR COMPUTING ENVIRONMENTS." International Journal of High Speed Computing 05, no. 04 (1993): 595–615. http://dx.doi.org/10.1142/s0129053393000244.

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41

Zapata, E. L., O. G. Plata, F. F. Rivera, et al. "SOFTWARE TOOLS FOR MULTIPROCESSOR SIMULATION AND PROGRAMMING." Cybernetics and Systems 21, no. 2-3 (1990): 291–310. http://dx.doi.org/10.1080/01969729008902242.

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42

Hanson, Stephen José, and Richard R. Rosinski. "Programmer perceptions of productivity and programming tools." Communications of the ACM 28, no. 2 (1985): 180–89. http://dx.doi.org/10.1145/2786.2791.

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43

Zalewski, Adam, Wit Grzesik, and Krzysztof Jarosz. "Optimisation methods for programming CNC machine tools." Mechanik, no. 8-9 (September 2024): 6–16. http://dx.doi.org/10.17814/mechanik.2024.8-9.16.

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44

Perlman, G. "Coding quality and tools in programming methods." ACM SIGSOFT Software Engineering Notes 11, no. 3 (1986): 44–50. http://dx.doi.org/10.1145/12923.12925.

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45

Gurov, V. S., M. A. Mazin, A. S. Narvsky, and A. A. Shalyto. "Tools for support of automata-based programming." Programming and Computer Software 33, no. 6 (2007): 343–55. http://dx.doi.org/10.1134/s0361768807060059.

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46

Bemmerl, Thomas, and Bernhard Ries. "Programming tools for distributed multiprocessor computing environments." Future Generation Computer Systems 8, no. 1-3 (1992): 221–34. http://dx.doi.org/10.1016/0167-739x(92)90041-9.

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47

Catton, David. "AI tools for DP — programming under uncertainty." Data Processing 27, no. 4 (1985): 24–27. http://dx.doi.org/10.1016/0011-684x(85)90051-6.

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48

Bakay, Á., L. Madarász, A. Hinsenkamp, Z. Papp, and T. P. Dobrowiecki. "Declarative Programming Tools for Fermentor Control System." IFAC Proceedings Volumes 23, no. 8 (1990): 293–97. http://dx.doi.org/10.1016/s1474-6670(17)51839-x.

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49

Landay, James A. "Tools review: Serius—a visual programming environment." Journal of Visual Languages & Computing 2, no. 3 (1991): 297–303. http://dx.doi.org/10.1016/s1045-926x(06)80010-8.

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50

Voluiko, Maryna Mykolaivna, and Yurii Oleksiiovych Onykiienko. "Visual Programming Tools for Creating Video Effects." Electronic and Acoustic Engineering 2, no. 4 (2019): 46–51. http://dx.doi.org/10.20535/2617-0965.2019.2.4.163663.

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