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Journal articles on the topic 'Tools programming'

Author: Grafiati

Published: 4 June 2021

Last updated: 10 February 2022

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1

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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2

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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3

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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4

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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5

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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6

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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7

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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8

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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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

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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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

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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14

Vasilopoulos, Ioannis V., and Paul van Schaik. "Koios: Design, Development, and Evaluation of an Educational Visual Tool for Greek Novice Programmers." Journal of Educational Computing Research 57, no. 5 (2018): 1227–59. http://dx.doi.org/10.1177/0735633118781776.

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This article discusses the design and implementation of a new programming tool for Greek novices as a means to improve introductory programing instruction in Greece. We implemented Koios, a new highly interactive and visual programming tool for Greek novices, based on the body of research in the field of psychology of programming. The main contribution of this article is the empirical demonstration of the benefit of this tool in novice programming, compared with two other popular programming tools for Greek novices. The results show that users of Koios performed significantly better than users

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15

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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16

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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17

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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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

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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20

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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21

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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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

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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26

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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27

Pajor, Mirosław, and Kamil Stateczny. "Intelligent Machine Tool: New Manual Programming Techniques." Solid State Phenomena 220-221 (January 2015): 485–90. http://dx.doi.org/10.4028/www.scientific.net/ssp.220-221.485.

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Modern CNC machine tools constitute advanced mechatronic systems. Numerous works are undertaken on the development of new intelligent control systems for CNC machine tools [1–5] equipped with unique diagnostic systems. One of the development directions of CNC control systems is exploring new forms and techniques of operator-machine communication as well as new, simpler machine tool programming procedures. Nowadays, there are many techniques for programming CNC machine tools [6], [7]. These techniques have taken a variety of forms both due to historical limits of technology and various environm

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28

Hu, Yue, Cheng-Huan Chen, and Chien-Yuan Su. "Exploring the Effectiveness and Moderators of Block-Based Visual Programming on Student Learning: A Meta-Analysis." Journal of Educational Computing Research 58, no. 8 (2020): 1467–93. http://dx.doi.org/10.1177/0735633120945935.

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Block-based visual programming tools, such as Scratch, Alice, and MIT App Inventor, provide an intuitive and easy-to-use editing interface through which to promote programming learning for novice students of various ages. However, very little attention has been paid to investigating these tools’ overall effects on students’ academic achievement and the study features that may moderate the effects of block-based visual programming from a comprehensive perspective. Thus, the present study carried out a meta-analysis to systemically examine 29 empirical studies (extracting 34 effect sizes) using

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29

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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30

Callaghan-Gillespie, Meghan, and Melody Mui. "Useful Tools for Food Aid: Linear Programming and Protein Quality Tools." Food and Nutrition Bulletin 39, no. 2_suppl (2018): S80—S86. http://dx.doi.org/10.1177/0379572118792759.

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The development of a superior treatment option for severe acute malnutrition (SAM) which allowed for home-based therapy put in place constraints that are crucial for ensuring the feasibility and nutritional integrity of the treatment. Soon after the initial success of ready-to-use therapeutic food (RUTF), there were attempts to modify the formulation for cost and other areas of acceptability. While alternative formulations have been taken on in clinical trials, they have been inferior to the standard RUTF recipe. Linear programming (LP) technology, however, has streamlined the formulation proc

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31

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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32

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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33

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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34

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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35

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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36

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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37

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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38

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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39

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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40

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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41

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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42

Ge, Mitsuo, and Kenichi Ida. "Linear programming software tools on UNIX System." Computers & Industrial Engineering 13, no. 1-4 (1987): 290–94. http://dx.doi.org/10.1016/0360-8352(87)90099-4.

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43

Kapitonova, Yu V., A. A. Letichevskii, and V. A. Volkov. "Deductive tools of an algebraic programming system." Cybernetics and Systems Analysis 36, no. 1 (2000): 12–26. http://dx.doi.org/10.1007/bf02733299.

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44

Linn, Marcia C. "How can hypermedia tools help teach programming?" Learning and Instruction 2, no. 2 (1992): 119–39. http://dx.doi.org/10.1016/0959-4752(92)90027-j.

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45

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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46

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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47

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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48

Kos, Tomaž, Marjan Mernik, and Tomaž Kosar. "A Tool Support for Model-Driven Development: An Industrial Case Study from a Measurement Domain." Applied Sciences 9, no. 21 (2019): 4553. http://dx.doi.org/10.3390/app9214553.

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End-user programming may utilize Domain-Specific Modeling Languages (DSMLs) to develop applications in the form of models, using only abstractions found in a specific problem domain. Indeed, the productivity benefits reported from Model-Driven Development (MDD) are hard to ignore, and a number of MDD solutions are flourishing. However, not all stories from industry on MDD are successful. End-users, without having software development skills, are more likely to introduce software errors than professional programmers. In this study, we propose and encourage other DSML developers to extend the de

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49

Falgenti, Kursehi. "Studi Komparatif Program Visual Dinamis untuk Pembelajaran Algoritma dan Pemograman Berorientasi Objek." Journal of Applied Computer Science and Technology 1, no. 1 (2020): 38–43. http://dx.doi.org/10.52158/jacost.v1i1.53.

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As beginners, many first-year students have difficulty understanding object-oriented programming material. To help students learn algorithmic and object-oriented programming material researchers have developed visual programming (PV). Visual programming is a tool to facilitate learning programming. The concept of learning to use PV visualizes the work processes of algorithms and programming. This research aims to compare three dynamic PV tools for object-oriented learning programming that are the most studied. To determine the PV to be compared, a survey was conducted in an online journal data

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50

Lukkarinen, Aleksi, Lauri Malmi, and Lassi Haaranen. "Event-driven Programming in Programming Education." ACM Transactions on Computing Education 21, no. 1 (2021): 1–31. http://dx.doi.org/10.1145/3423956.

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During the past two decades, event-driven programming (EDP) has emerged as a central and almost ubiquitous concept in modern software development: Graphical user interfaces are self-evident in most mobile and web-based applications, as well as in many embedded systems, and they are most often based on reacting to events. To facilitate both teaching practice and research in programming education, this mapping review seeks to give an overview of the related knowledge that is already available in conference papers and journal articles. Starting from early works of the 1990s, we identified 105 pap

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