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1

Wilson, Leon A., Maksym Petrenko, and Václav Rajlich. "Using Concept Maps to Assist Program Comprehension and Concept Location: An Empirical Study." Journal of Information & Knowledge Management 11, no. 03 (September 2012): 1250018. http://dx.doi.org/10.1142/s0219649212500189.

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Program comprehension is an integral part of the evolution and maintenance of large software systems. As it is increasingly difficult to comprehend these systems completely, programmers have to rely on a partial and as-needed comprehension. We study partial comprehension and programmer learning with the use of concept maps as a tool for capturing programmer knowledge during concept location, which is one of the tasks of software evolution and maintenance, and it is a prerequisite of a software change. We conduct a user study to measure the performance of programmers using concept maps to assist with locating concepts. The results demonstrate that programmer learning occurs during concept location and that concept maps assisted programmers with capturing programmer learning and successful concept location.
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2

Young, Harry, and Graeme S. Bayley. "Portable computer-based temperature programmer." Journal of Chromatography A 369 (January 1986): 171–74. http://dx.doi.org/10.1016/s0021-9673(00)90110-9.

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3

Greenfield, Gary R. "Art by computer program == programmer creativity." Digital Creativity 17, no. 1 (January 2006): 25–35. http://dx.doi.org/10.1080/14626260600665694.

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4

Glass, Robert L. "Practical programmer." Communications of the ACM 44, no. 9 (September 2001): 17–20. http://dx.doi.org/10.1145/383694.383698.

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5

Rettig, Marc. "Practical programmer." Communications of the ACM 34, no. 5 (May 1991): 25–29. http://dx.doi.org/10.1145/103167.103170.

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6

Nurulain Mohd Rum, Siti, and Maslina Zolkepli. "Metacognitive Strategies in Teaching and Learning Computer Programming." International Journal of Engineering & Technology 7, no. 4.38 (December 3, 2018): 788. http://dx.doi.org/10.14419/ijet.v7i4.38.27546.

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It has been noted that teaching and learning programming is challenging in computer science education and that this is a universal problem. To understand and to code programs are perceived as being very challenging in computer science education. This is due to the demand for practical ability rather than theory alone. Studies have revealed that students with metacognitive management skills perform well in programming compared to lower-performing students. The more difficult the programming activity, the greater the need for the programmer to own metacognitive control skills. The cognitive processes in learning computer programming require a novice programmer to develop metacognitive skills. The main objective of this research work is to identify the metacognitive strategies in teaching and learning programming. An exploratory study was setup to identify the level of metacognition awareness of novice programmers using the MAI instrument. Interview sessions with expert lecturers were also conducted to identify the metacognitive approaches and the pedagogical method applied in the teaching and learning activities. The learning behaviours of novices were also identified through the interviewing sessions. It can be concluded that there is a correlation between the metacognitive awareness level of an individual and their academic achievement.
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7

Sparks, Madeleine R., and Julian R. Gallop. "Computer graphics language bindings: Programmer interface standards." Computer-Aided Design 19, no. 8 (October 1987): 418–24. http://dx.doi.org/10.1016/s0010-4485(87)80004-0.

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8

Li, Guo Yu. "The Wireless Programmer Based on the NRF9E5." Applied Mechanics and Materials 475-476 (December 2013): 847–50. http://dx.doi.org/10.4028/www.scientific.net/amm.475-476.847.

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Анотація:
The wireless programmer based on the NRF9E5 chip is proposed, designed and applied. The circuit board doesnt connect to the computer with any cable, and it connects to the computer through the wireless transmission of the NRF9E5. The circuit board can realize to update the program online through the exquisite programmer. The programmer can download the program for 5.97 seconds and it is widely applied to the product development and quantity production area.
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9

Dorin, Alan. "Generative processes and the electronic arts." Organised Sound 6, no. 1 (April 2001): 47–53. http://dx.doi.org/10.1017/s1355771801001078.

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This paper gives a personal perspective on the application and relevance of generative processes to art production. This view is that of a computer programmer, rather than that of a user of computer programs written (or hardware constructed) by others. The programmer is in the unique position of being able to describe and manipulate abstract processes which may be used as a unique means of artistic expression. This gives a greater amount of freedom to the programmer/artist than is the case when he or she is limited by programmed procedures defined by others.Prior to the development of a formal means of specifying visual and aural events, a concrete machine or set of rules for their manipulation and a means of bringing these representations back into the world as physical events, abstract processes were things to be contemplated but not experienced. Musical and spatial notations employed by artists, engineers and others, in concert with the programming of computing hardware, have opened the way for those who wish to manipulate processes in their artistic practice.In order to focus study and practice in the area of such generative computer art, the Center for Electronic Media Art (CEMA) has been established in Melbourne, Australia. The Center has spawned an international conference series on generative/process-based electronic art called Iteration. The perceived roles of the Center and Iteration conferences are discussed in this paper.
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10

Venkateswarlu, K., B. Vijay Chandra, B. Nagaraju, and K. Jeevana. "Physicists and Computer Engineers Do Commute." International Journal of Innovative Research in Engineering and Management 7, no. 5 (September 15, 2020): 78–80. http://dx.doi.org/10.55524/ijirem.2020.7.5.5.

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When two operators, which help us to measure the physical quantities e.g. Momentum, Energy and Position etc. of a system, commute Physicists say that both quantities can be measured or observed at same time. So the title of my paper implies that both Computer engineers and Physicists can be observed working together to solve many real life problems. A physicist needs a computer engineer and vice versa. Unfortunately students of computer engineering seem to be a little unaware of the fact and they don't devote much time to learning physics[4,5,6], they seem to believe that they will be a computer programmer and they won't need much physics in future. There may be other reasons for the ignorance of this subject. Student’s approach to understanding physics can highly influence their motivation and ultimately development of great computer programs using different languages and platforms. Learning physics can help them to develop programming skills that will solve many day to day life problems. The ultimate work of a programmer /engineer is to solve our daily life problems and build a sustainable world. Here I discuss for computer engineers the importance of learning physics at an introductory level and how it will help to be a good programmer.
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11

Manzanares, Antonio Izquierdo. "Professional Pen Testing for Web Applications—Programmer to Programmer Series (P2P)." Computer Journal 50, no. 4 (May 26, 2007): 500. http://dx.doi.org/10.1093/comjnl/bxm016.

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12

Lennon, Brian. "Program Text, Programming Style, Programmer Labor." Cultural Politics 14, no. 3 (November 1, 2018): 372–94. http://dx.doi.org/10.1215/17432197-7093380.

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Computer programming can be understood as both a kind of writing and a special class of human labor activity facilitating the automation of other human labor activities, not excluding itself. From the very beginning of the history of computer programming, it was recognized that the technical logic of programming is a logic of automation, indeed, a logic of self-automation or even recursive automation. This article suggests that a syntactic feature common to all programming languages used today serves as a register of this logic of automation, leaving traces in code that are legible if one knows where to look. That feature is the comment: natural-language text within a computer program that is written exclusively for human readers of the program and is separated from executable code, though it stands alongside it. At their most interesting, in patterns of use to which a managerial discourse of software craftspersonship is actively hostile, yet to which so-called literate programming practice is indifferent, program comments are traces of a mode of technical labor whose privilege and precarity both rest on its obscurity, an obscurity in no way resistant to reading.
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13

Tracz, W. "Personal personnel programmer profile." ACM SIGPLAN Notices 22, no. 3 (March 1987): 119–20. http://dx.doi.org/10.1145/24697.24710.

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14

Faidhi, J. A. W. "Programmer Experience-Level Indicators." Computer Journal 30, no. 1 (January 1, 1987): 52–62. http://dx.doi.org/10.1093/comjnl/30.1.52.

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15

Rettig, Marc. "Practical programmer: software teams." Communications of the ACM 33, no. 10 (October 1990): 23–27. http://dx.doi.org/10.1145/84537.84543.

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16

Barron, D. "EDSAC: A Programmer Remembers." Computer Journal 54, no. 1 (December 22, 2009): 139–42. http://dx.doi.org/10.1093/comjnl/bxp115.

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17

Koubek, R., G. Salvendy, and H. Dunsmore. "Cap: A Knowledge Extraction Methodology for Computer Programming." Proceedings of the Human Factors Society Annual Meeting 30, no. 5 (September 1986): 492–96. http://dx.doi.org/10.1177/154193128603000519.

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A current bottleneck In the automation of software Is the lack of available, standardized, reliable and valid methods for extracting knowledge from expert programmers. This paper discusses the development of Computer Aided Protocol (CAP) to automatically collect the general and specific cognitive task components of a programmer. Results Indicate that CAP was able to collect lower level goals while protocol analysis collected only 56 percent of these lower level goals. However, protocol analysis was able to obtain significantly more procedural knowledge relating to cognitive states of the subject and more high level goals than CAP (F(1,8)=11.23; p<.004). This work suggests that the integration of the information derived from both protocol and CAP for knowledge extraction would provide more effective information for the development of expert systems than is feasible with either system alone.
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18

Jankowicz, A. Z. D. "Local Irish Norms for the Computer Programmer Aptitude Battery." Irish Journal of Psychology 7, no. 2 (September 1986): 115–22. http://dx.doi.org/10.1080/03033910.1986.10557682.

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19

Veryard, R. "Is God a programmer? : religion in the computer age." Information and Software Technology 31, no. 8 (October 1989): 452–53. http://dx.doi.org/10.1016/0950-5849(89)90125-0.

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20

Temkin, Daniel. "Entropy and FatFinger: Challenging the Compulsiveness of Code with Programmatic Anti-Styles." Leonardo 51, no. 4 (August 2018): 405–12. http://dx.doi.org/10.1162/leon_a_01651.

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Coding, the translating of human intent into logical steps, reinforces a compulsive way of thinking, as described in Joseph Weitzenbaum’s “Science and the Compulsive Programmer” (1976). Two projects by the author, Entropy (2010) and FatFinger (2017), challenge this by encouraging gestural approaches to code. In the Entropy programming language, data becomes slightly more approximate each time it is used, drifting from its original values, forcing programmers to be less precise. FatFinger, a Javascript dialect, allows the programmer to misspell code and interprets it as the closest runnable variation, strategically guessing at the programmer’s intent.
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21

Szepanski, Achim. "A Mille Plateaux manifesto." Organised Sound 6, no. 3 (December 2001): 225–28. http://dx.doi.org/10.1017/s1355771801003089.

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The label Mille Plateaux focuses on concepts like virtuality, noise, machinism and digitality. In the most simple case, digital music simulates something that does not exist as a reality; it generates something new. It is the result of the teamwork of numerous authorities such as the 'musician', the programmer and the authority of the software program. Today, computer digital music can be seen as screen-based music, i.e. sounds become visible and images audible, but one can often forget that there is no mutual correspondence; and that this is simply a mechanism whereby a given program secretly directs the programmer towards significant ways of performing, creating apparently absolute relationships between image and sound. On the other hand, with the increasing complexity of software, the programmer loses insight into internal communication structures. Such complex programs are full of errors and can even act on their own initiative. Programmers and musicians who navigate through today's systems function as designers. But this is less a question of the design of a program's operation surfaces but of the programming of software and the navigation by its logic. One has to discuss the medial conditions of digital music, the more user-friendly the software, the less transparent is the medium itself; i.e. the more transparent the functions of a computer or a synthesizer (say, with the use of preset sounds), the stronger the medium proves to be non-transparent. Digital music is more about opening up given program structures; internal ramifications and program hierarchies are to be discovered.
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22

Cerf, Vinton G. "ACM and the professional programmer." Communications of the ACM 57, no. 8 (August 2014): 7. http://dx.doi.org/10.1145/2639107.

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23

Cerf, Vinton G. "ACM and the Professional Programmer." Queue 12, no. 7 (July 2014): 10–11. http://dx.doi.org/10.1145/2639988.2639990.

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24

Parri, Jonathan, Daniel Shapiro, Miodrag Bolic, and Voicu Groza. "Returning control to the programmer." Communications of the ACM 54, no. 4 (April 2011): 38–43. http://dx.doi.org/10.1145/1924421.1924437.

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25

Parri, Jonathan, Daniel Shapiro, Miodrag Bolic, and Voicu Groza. "Returning Control to the Programmer." Queue 9, no. 2 (February 2011): 30–37. http://dx.doi.org/10.1145/1943176.1945954.

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26

Cegielski, Casey G., and Dianne J. Hall. "What makes a good programmer?" Communications of the ACM 49, no. 10 (October 2006): 73–75. http://dx.doi.org/10.1145/1164394.1164397.

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27

Shuaibu, Ayishetu Oshoke, Sarah Ikhuemose Ebuwa, and Abimbola Esther Ikuemonisan Ikuemonisan. "Assessment of Dry Eye Syndrome among Computer Programmers in Computer Training Institutes in Benin City." Journal of the Nigerian Optometric Association 23, no. 1 (June 11, 2021): 18–24. http://dx.doi.org/10.4314/jnoa.v23i1.5.

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Purpose: The purpose of this study was to evaluate dry eye syndrome among computer programmers in computer training institutes in Benin City.Methods: This cross-sectional study was carried out using 250 participants of 18 years and above who were computer instructors and students of various computer training institutes in Benin City. Sociodemographic data and relevant ocular history were obtained from the participants. External and Internal examinations of the eyes were carried out to check for the presence of any ocular abnormalities. Dryeye disease was assessed subjectively with the Ocular Surface Disease Index (OSDI) questionnaire and objectively by performing Schirmer’s test and Tear Break-up Time (TBUT). Participants with an OSDI score of ≥35 and who had < 10mm to Schirmer’s I test or < 10secs in Tear break-up Time (TBUT) test were considered to have dry eye.Results: The mean age of the participants was 25.32 ± 7.38 years and 68% were males. The prevalence of dry eye among the computer programmers was found to be 30.8%. Mean TBUT and Mean Schirmer’s Test value for those with dry eye was 10.21s±3.44s and 12.46 ± 7.27mm respectively. This study showed that age (p=0.213), gender (p=0.243) and duration of time spent on computer display units (p=0.124) were not statistically significant determinants of dry eye among the computer programmers.Conclusion: Computer programmers are predisposed to developing dry eye diseases. It is therefore imperative for them to go for regular eye examination to prevent ocular surface disorders and therefore maintain comfortable vision. Keywords: Dry Eye, Schirmer Test, Tear Break-up Time, Ocular Surface Disease Index, Computer Programmer.
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28

King, Jonathan. "Controlling the Systems Programmer." EDPACS 17, no. 2 (August 1989): 1–5. http://dx.doi.org/10.1080/07366988909450550.

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29

Hix, Deborah. "Assessment of an Interactive Environment for Developing Human-Computer Interfaces." Proceedings of the Human Factors Society Annual Meeting 30, no. 14 (September 1986): 1349–53. http://dx.doi.org/10.1177/154193128603001401.

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The goal of this research was to empirically evaluate the usefulness of an interactive environment for developing human-computer interfaces. In particular, it focused on a set of interactive tools, called the Author's Interactive Dialogue Environment (AIDE), for human-computer interface implementation. AIDE is used by an interface design specialist, called a dialogue author, to implement an interface by directly manipulating and defining its objects, rather than by the traditional method of writing source code. In a controlled experiment, a group of dialogue author subjects used AIDE 1.0 to implement a predefined interface, and a group of application programmer subjects implemented the identical interface using programming code. Dialogue author subjects performed the task more than three times faster than the application programmer subjects. This study empirically supports, possibly for the first time, the long-standing claim that interactive tools for interface development can improve productivity and reduce frustration in developing interfaces over traditional programming techniques for interface development.
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30

Zaidan, A. A., B. B. Zaidan, M. A. Alsalem, Fayiz Momani, and Omar Zughoul. "Novel Multiperspective Hiring Framework for the Selection of Software Programmer Applicants Based on AHP and Group TOPSIS Techniques." International Journal of Information Technology & Decision Making 19, no. 03 (May 2020): 775–847. http://dx.doi.org/10.1142/s0219622020500121.

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The selection of software programmer applicants based on multiperspective evaluation criteria (grade point average (GPA) and soft skills of the applicants) is needed instead of an interview because an interview does not necessarily lead to hiring the best candidate amongst the applicants. The selection of a suitable software programmer is considered a challenging task owing to the following factors: (1) data variation, (2) multiple evaluation criteria and (3) criterion importance. A general framework for the selection of the best software programmer applicants is not available in the existing literature. The present study aims to propose a novel multiperspective hiring framework based on multicriteria analysis to select the best software programmer amongst several applicants. A decision matrix (DM) is constructed for the selection of the best programmer applicants according to multiple criteria, namely, structured programming, object-oriented programming, data structure, database system and courseware engineering. Each criterion includes two parameters, namely, GPA and soft skills, and these criteria cross over with programmer applicants as alternatives. The standard and expert opinion of the Software Engineering Body of Knowledge is used to distribute the criteria in the DM. The two commonly used techniques of multicriteria decision-making are analytic hierarchy process (AHP) for weighing the criteria and technique for order performance by similarity to ideal solution (TOPSIS) for ranking the alternatives (programmer applicants). The data used in this study include 60 software engineering students who graduated in 2016 from Universiti Pendidikan Sultan Idris. Results show that integrating multilayer analytic hierarchy process (MLAHP) and group TOPSIS are effective for solving applicant selection problems. Group TOPSIS uses different contexts — internal and external aggregation — and indicates similar results. Objective validation is used for the ranking of the results, which are equally divided into four parts. Furthermore, the applicants are systematically ranked. This study benefits application software, system software and computer programming tool companies by providing a method that improves software quality whilst reducing time and cost in the selection process.
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31

Kiran Kumar, M., M. Sreedevi, and Y. C. A. Padmanabha Reddy. "Survey on machine learning algorithms for liver disease diagnosis and prediction." International Journal of Engineering & Technology 7, no. 1.8 (February 9, 2018): 99. http://dx.doi.org/10.14419/ijet.v7i1.8.9981.

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Machine learning plays a vital role in health care industry. It is very important in Computer Aided Diagnosis. Computer Aided Diagnosis is a quickly developing dynamic region of research in medicinal industry. The current specialists in machine learning guarantee the enhanced precision of discernment and analysis of diseases. The computers are empowered to think by creating knowledge by learning. This procedure enables the computers to self-learn individually without being explicitly programed by the programmer .There are numerous sorts of Machine Learning Techniques and which are utilized to classify the data sets. They are Supervised, Unsupervised and Semi-Supervised, Reinforcement, deep learning algorithms. The principle point of this paper is to give comparative analysis of supervised learning algorithms in medicinal area and few of the techniques utilized as a part of liver disease prediction.
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32

Glass, Robert L. "Practical programmer: inspections—some surprising findings." Communications of the ACM 42, no. 4 (April 1999): 17–19. http://dx.doi.org/10.1145/299157.299161.

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33

Glass, Robert L. "Practical programmer: On personal technical obsolescence." Communications of the ACM 43, no. 7 (July 2000): 15–17. http://dx.doi.org/10.1145/341852.341872.

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34

Jenkins, Stephen B. "The rime of the ancyent programmer." Communications of the ACM 50, no. 5 (May 2007): 17–20. http://dx.doi.org/10.1145/1230819.1241684.

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35

Jenkins, Stephen B. "Musings of an "old-school" programmer." Communications of the ACM 49, no. 5 (May 2006): 124–26. http://dx.doi.org/10.1145/1125944.1125969.

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36

Katkov, V. L. "An IBM PC based programmer workstation." Cybernetics 25, no. 6 (1990): 785–89. http://dx.doi.org/10.1007/bf01069780.

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37

Kelly, Terence. "Programmer Job Interviews: The Hidden Agenda." Queue 21, no. 6 (December 31, 2023): 16–26. http://dx.doi.org/10.1145/3639444.

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Анотація:
Top tech interviews test coding and CS knowledge overtly, but they also evaluate a deeper technical instinct so subtly that candidates seldom notice the appraisal. We'll learn how interviewers create questions to covertly measure a skill that sets the best programmers above the rest. Equipped with empathy for the interviewer, you can prepare to shine on the job market by seizing camouflaged opportunities.
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38

Numrich, Robert W. "F--: A Parallel Extension to Cray Fortran." Scientific Programming 6, no. 3 (1997): 275–84. http://dx.doi.org/10.1155/1997/503896.

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F--is a parallel extension to Cray Fortran 77 for distributed memory computers. It adds exactly one new symbol to the language, a vertical line that separates two sets of indices. The first set contains the coordinates for data in a local data grid. The second set contains the coordinates for processors in a global processor grid. A statement such as x(i,j)=y(i,j| p,q) generates a load from remote address y(i,j) in the data grid on processor (p,q) followed by a store to local address x(i,j) in the local data grid. F--syntax requires an explicit statement of the relationship between data layout and processor layout. It assumes that good performance on a distributed memory computer requires the programmer to understand and to exploit data locality. Programmers use the F--syntax only when it is needed. 0therwise all data are local and all code is local. Compiler and library developers concentrate on generating well-optimized local code.
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39

Dévai, Gergely, Zoltán Gera, and Zoltán Kelemen. "Language abstractions for low level optimization techniques." Computer Science and Information Systems 11, no. 4 (2014): 1499–514. http://dx.doi.org/10.2298/csis130224080d.

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Programmers are often forced to implement performance-critical applications at a low abstraction level. This leads to programs that are hard to develop and maintain because the program text is mixed with low level optimization tricks and is far from the algorithm it implements. Even if compilers are smart nowadays and provide the user with many automatically applied optimizations, practice shows that in some cases it is hopeless to optimize the program automatically without the programmer?s knowledge. A complementary approach is to allow the programmer to fine tune the program by providing him with language features that make the optimization easier. These are language abstractions that make optimization techniques explicit without adding too much syntactic noise to the program text. This paper presents such language abstractions for two well-known optimizations: bitvectors and SIMD (Single Instruction Multiple Data). The language features are implemented in the embedded domain specific language Feldspar which is specifically tailored for digital signal processing applications. While we present these language elements as part of Feldspar, the ideas behind them are general enough to be applied in other language definition projects as well.
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40

Horn, Berthold K. P., David Marr, John Hollerbach, Gerald J. Sussman, Patrick H. Winston, Randall Davis, and Marvin L. Minsky. "Research in Progress at the Massachusetts Institute of Technology Artificial Intelligence Laboratory." AI Magazine 1, no. 1 (July 1, 2017): 21. http://dx.doi.org/10.1609/aimag.v1i1.87.

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The MIT AI Laboratory has a long tradition of research in most aspects of Artificial Intelligence. Currently, the major foci include computer vision, manipulation, learning, English-language understanding, VLSI design, expert engineering problem solving, common-sense reasoning, computer architecture, distributed problem solving, models of human memory, programmer apprentices, and human education.
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41

Sulaiman, Rahmat, Agustina Mardeka Raya, Tri Sugihartono, Fransiskus Panca Juniawan, and Ayu Ratna Juwita. "Attendance System of Computer Laboratory Assistant in PT.XYZ Using Wireless Fidelity." CCIT Journal 15, no. 1 (February 7, 2022): 67–81. http://dx.doi.org/10.33050/ccit.v15i1.1585.

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The use of Android smartphones is becoming increasingly widespread in all walks of life in people's daily lives. Supported by the development of mobile applications that are so innovative and varied, is one of the reasons. Mobile application development aims to support almost all human activities, especially in the world of work, therefore the programmer creates a presence system using Android-based wireless fidelity (WIFI) at laboratory of PT.XYZ. At the laboratory of PT.XYZ, they still use manual attendance system for presence of computer laboratory assistant, so there are several problem like productivity decreases due to fraud in attendance, namely the help of friends to be absent without having to be present, to data errors. Through wireless fidelity programmers solve problems with prototype research models and Object Oriented Programming (OOP) methods. The software development tool is the Unified Modeling Language (UML). The Applications has made using hash function of encryption on admin passwords and the user passwords. Both of the encryptions work on private passwords, even the admin and programmers don't know the contents of the user's password. The main result of this research is we can provide that there’s many way to make presence system one of them uses WIFI.
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42

Harel, Elie C., and Ephraim R. McLean. "The Effects of Using a Nonprocedural Computer Language on Programmer Productivity." MIS Quarterly 9, no. 2 (June 1985): 109. http://dx.doi.org/10.2307/249112.

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43

Milkman, Norman, and Robert L. Schoenfeld. "A DIGITAL PROGRAMMER FOR STIMULI AND COMPUTER CONTROL IN NEUROPHYSIOLOGICAL EXPERIMENTS*." Annals of the New York Academy of Sciences 128, no. 3 (December 16, 2006): 861–75. http://dx.doi.org/10.1111/j.1749-6632.1965.tb11704.x.

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44

Drach, Anna S. "ТЕХНОЛОГІЯ РОЗРОБЛЕННЯ ПРОГРАМНИХ ПРОДУКТІВ ДЛЯ НАВЧАННЯ ЧИТАННЯ ХУДОЖНІХ ТЕКСТІВ (НА ПРИКЛАДІ «ENGLISH FOR PHILOLOGISTS: ASPECT OF READING»)". Information Technologies and Learning Tools 67, № 5 (30 жовтня 2018): 161. http://dx.doi.org/10.33407/itlt.v67i5.2136.

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The article considers the issue of educational computer program development: the stages, blocks, aspects and peculiarities. The definition of an educational computer program as a means of information and communication technologies, created for the development of skills and abilities related to foreign language competence is given taking into account the psycholinguistic patterns of reading a text, methodical approach to teaching reading fiction via information and communication technologies . It was distinguished that educational computer program as a software for educational purposes can be offered as a system consisting of two main components: informational and software implementation. The development of educational computer programs suitable for educational institutions involves continuous interaction between the author of educational materials and the programmer. The process of creating a qualitative educational computer programme consists of certain stages: preparation of source materials; development of the programme structure of educational computer program; creation of a software product; aligning and adjustment; implementation of educational computer program; testing software product; educational computer program updating and error correction. The article describes the created educational program "English for Philologists: aspect of reading" that meets the criteria of correspondence and the criteria for evaluating computer programs for teaching foreign languages taking into account the peculiarities of digital text. The experimental introduction of the computer program «English for Philologists: aspect of reading», comparison of the average indicators of pre- and post-experimental sections in experimental groups and the growth by12% have showed that the training for future teachers of English language reading fiction via the educational computer programme «English for Philologists: aspect of reading» has proved to be effective: all the groups have reached the required level of reading comprehension.
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45

Moreton–Fernandez, Ana, Hector Ortega–Arranz, and Arturo Gonzalez–Escribano. "Controllers: An abstraction to ease the use of hardware accelerators." International Journal of High Performance Computing Applications 32, no. 6 (May 3, 2017): 838–53. http://dx.doi.org/10.1177/1094342017702962.

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Nowadays the use of hardware accelerators, such as the graphics processing units or XeonPhi coprocessors, is key in solving computationally costly problems that require high performance computing. However, programming solutions for an efficient deployment for these kind of devices is a very complex task that relies on the manual management of memory transfers and configuration parameters. The programmer has to carry out a deep study of the particular data that needs to be computed at each moment, across different computing platforms, also considering architectural details. We introduce the controller concept as an abstract entity that allows the programmer to easily manage the communications and kernel launching details on hardware accelerators in a transparent way. This model also provides the possibility of defining and launching central processing unit kernels in multi-core processors with the same abstraction and methodology used for the accelerators. It internally combines different native programming models and technologies to exploit the potential of each kind of device. Additionally, the model also allows the programmer to simplify the proper selection of values for several configuration parameters that can be selected when a kernel is launched. This is done through a qualitative characterization process of the kernel code to be executed. Finally, we present the implementation of the controller model in a prototype library, together with its application in several case studies. Its use has led to reductions in the development and porting costs, with significantly low overheads in the execution times when compared to manually programmed and optimized solutions which directly use CUDA and OpenMP.
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46

Bias, Randolph G., James Patrick Williams, Ding-Yu Chung, and Samuel A. Burns. "The Influence of Microsoft's ClearType® on Programmer Productivity." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 49, no. 5 (September 2005): 642–44. http://dx.doi.org/10.1177/154193120504900502.

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An experimental study and a naturalistic field study were conducted to develop detailed behavioral (performance) and affective measures of user responses to ClearType® to support the derivation of quantitative estimates of ClearType's® impact on user productivity in computer programming tasks.
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47

SIKKA, D. R., and R. SURYANARAYANA. "Forecasting the movement of tropical storms/ depressions in the Indian region by a computer oriented technique using , climatology and persistence." MAUSAM 23, no. 1 (January 27, 2022): 35–40. http://dx.doi.org/10.54302/mausam.v23i1.5124.

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A computer-oriented technique for forecasting the movement of tropical storms/depressions in the Indian seas, based on half persistence and half climatology has been tested. The climatological components of the forecast is computed by a computer programmer, by scanning the climatological tracks within a predetermined scan, distance from the centre of the storm to be predicted. The method had been tested on independent data for pre-monsoon and post monsoon storms/depressions during 1961-67, and performance of forecasts categorised. The accuracy-of the forecast by the method compares favourably with other operational objective methods in use elsewhere. Probability ellipses of the errors have been constructed. Results of the forecasts based on experimental real time basis during 1968-70 are also discussed.
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48

McAdam, Bruce J. "Type errors confuse the programmer (poster abstract)." ACM SIGPLAN Notices 34, no. 1 (January 1999): 338. http://dx.doi.org/10.1145/291251.289465.

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49

Yulianto, Budi, Harjanto Prabowo, Raymond Kosala, and Manik Hapsara. "Novice Programmer = (Sourcecode) (Pseudocode) Algorithm." Journal of Computer Science 14, no. 4 (April 1, 2018): 477–84. http://dx.doi.org/10.3844/jcssp.2018.477.484.

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50

Morales, Jenny, Cristian Rusu, and Daniela Quinones. "Programmer Experience: A Systematic Mapping." IEEE Latin America Transactions 18, no. 06 (June 2020): 1111–18. http://dx.doi.org/10.1109/tla.2020.9099749.

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