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Journal articles on the topic 'Programmers'

Author: Grafiati

Published: 4 June 2021

Last updated: 25 July 2025

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1

Dai, Yujun, Shaoying Liu, and Haiyi Liu. "Mutation-Based Approach to Supporting Human–Machine Pair Inspection." Electronics 14, no. 2 (2025): 382. https://doi.org/10.3390/electronics14020382.

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Human–machine pair inspection refers to a technique that supports programmers and machines working together as a “pair” in source code inspection tasks. The machine provides guidance, while the programmer performs the inspection based on this guidance. Although programmers are often best suited to inspect their own code due to familiarity, overconfidence may lead them to overlook important details. This study introduces a novel mutation-based human–machine pair inspection method, which is designed to direct the programmer’s attention to specific code components by applying targeted mutations.

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2

Mozannar, Hussein, Gagan Bansal, Adam Fourney, and Eric Horvitz. "When to Show a Suggestion? Integrating Human Feedback in AI-Assisted Programming." Proceedings of the AAAI Conference on Artificial Intelligence 38, no. 9 (2024): 10137–44. http://dx.doi.org/10.1609/aaai.v38i9.28878.

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AI powered code-recommendation systems, such as Copilot and CodeWhisperer, provide code suggestions inside a programmer's environment (e.g., an IDE) with the aim of improving productivity. We pursue mechanisms for leveraging signals about programmers' acceptance and rejection of code suggestions to guide recommendations. We harness data drawn from interactions with GitHub Copilot, a system used by millions of programmers, to develop interventions that can save time for programmers. We introduce a utility-theoretic framework to drive decisions about suggestions to display versus withhold. The a

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3

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 (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 assis

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4

Temkin, Daniel. "Entropy and FatFinger: Challenging the Compulsiveness of Code with Programmatic Anti-Styles." Leonardo 51, no. 4 (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 var

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5

Pietriková, Emília. "Towards Program Comprehension: Knowledge Profiles for C Programmers." Acta Electrotechnica et Informatica 21, no. 4 (2021): 30–35. http://dx.doi.org/10.2478/aei-2021-0005.

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Abstract Following up on the issue of programmer knowledge profiles, the present article deals with the generation of profiles for C language programmers. The main idea is based on static analysis of source codes, assembling the most significant data about their author. Such a profile can point out some abilities and habits of the programmer. The process of static analysis applies methods and techniques of size metrics, complexity metrics, and clone detection. We also present an experiment focused on novice programmers. The results show that knowledge profiles provide an easy way of novice pro

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6

NAISH, LEE. "A three-valued semantics for logic programmers." Theory and Practice of Logic Programming 6, no. 5 (2006): 509–38. http://dx.doi.org/10.1017/s1471068406002742.

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This paper describes a simpler way for programmers to reason about the correctness of their code. The study of semantics of logic programs has shown strong links between the model theoretic semantics (truth and falsity of atoms in the programmer's interpretation of a program), procedural semantics (for example, SLD resolution) and fixpoint semantics (which is useful for program analysis and alternative execution mechanisms). Most of this work assumes that intended interpretations are two-valued: a ground atom is true (and should succeed according to the procedural semantics) or false (and shou

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7

Müller, Matthias M. "Do programmer pairs make different mistakes than solo programmers?" Journal of Systems and Software 80, no. 9 (2007): 1460–71. http://dx.doi.org/10.1016/j.jss.2006.10.032.

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8

Prihozhy, A. A., and A. M. Zhdanouski. "METHOD OF QUALIFICATION ESTIMATION AND OPTIMIZATION OF PROFESSIONAL TEAMS OF PROGRAMMERS." «System analysis and applied information science», no. 2 (August 7, 2018): 4–11. http://dx.doi.org/10.21122/2309-4923-2018-2-4-11.

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The problem of building and optimizing the teams of programmers taking into account the qualification and the level of skills in programming technologies and tools is considered. Known technological environments for the management of teamwork, such as Agile, formulate only general requirements and principles for building the teams and the distribution of work between them. A method for formalizing and evaluating the qualification of individual programmers and entire groups of programmers has been proposed. The input data are attributes of the most popular technologies and programming tools, in

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9

Xue Wang, Xue Wang, Yong Wang Xue Wang, Fei Yang Yong Wang, Wenge Le Fei Yang, and Shouhang Wang Wenge Le. "Measuring Programming Ability for Novice Programmers." 網際網路技術學刊 23, no. 3 (2022): 573–81. http://dx.doi.org/10.53106/160792642022052303015.

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<p>Coding is a key activity in the software development process and a programmer&rsquo;s programming ability determines the software quality. Different from professional programmers, novice programmers usually refers to programmers who have learned a programming language for about three years. At this stage, measuring their programming ability is of great significance to improve their programming abilities. In previous work, researchers have proposed a variety of ways to measure programming ability for professional programmers. We set out to find out the best way to measure novice pr

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10

Neville-Neil, George. "Poisonous Programmers." Queue 6, no. 1 (2008): 5–6. http://dx.doi.org/10.1145/1348583.1348585.

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11

McConnell, S. "Problem programmers." IEEE Software 15, no. 2 (1998): 128. http://dx.doi.org/10.1109/52.663801.

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12

Kiesewetter-Kobinger, Swen. "Programmers' Capital." Computer 43, no. 2 (2010): 106–7. http://dx.doi.org/10.1109/mc.2010.47.

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13

Liu, Dapeng, Shaochun Xu, and Huafu Liu. "An Empirical Study on Novice Programmer’s Behaviors with Analysis of Keystrokes." International Journal of Software Innovation 1, no. 1 (2013): 68–87. http://dx.doi.org/10.4018/ijsi.2013010106.

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This paper presents a series of two experiments in which programming behaviors were observed and analyzed when they were programming with pressure and without pressure. There were eleven and twenty-four subjects respectively. In both experiments, the authors used a software tool to record the keystroke frequency, designed criteria to evaluation program quality, and conducted a survey after the experiment. The experiment results show that there is no direct relation between the numbers of keystrokes and programmer’s performance when programmers are working without pressure or with pressure. The

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14

Башкирова, О. А., та Е. А. Башкирова. "Значимость изучения профессионально-ориентированного английского языка будущими программистами в вузе". ТЕНДЕНЦИИ РАЗВИТИЯ НАУКИ И ОБРАЗОВАНИЯ 70, № 4 (2021): 25–28. http://dx.doi.org/10.18411/lj-02-2021-120.

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The article defines the arguments that help to understand the importance of mastering professional English by future programmers. The results of the survey are presented to determine the number of students who are aware of the importance of learning English in the formation of a competitive programmer. Attention is drawn to the formation of motivation to professional English learning. It is concluded that future programmers need to learn professional English.

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15

Nguyen, Tam The, and Tung Thanh Nguyen. "PERSONA: A personalized model for code recommendation." PLOS ONE 16, no. 11 (2021): e0259834. http://dx.doi.org/10.1371/journal.pone.0259834.

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Code recommendation is an important feature of modern software development tools to improve the productivity of programmers. The current advanced techniques in code recommendation mostly focus on the crowd-based approach. The basic idea is to collect a large pool of available source code, extract the common code patterns, and utilize the patterns for recommendations. However, programmers are different in multiple aspects including coding preferences, styles, levels of experience, and knowledge about libraries and frameworks. These differences lead to various usages of code elements. When the c

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16

Shrestha, Nischal, Colton Botta, Titus Barik, and Chris Parnin. "Here we go again." Communications of the ACM 65, no. 3 (2022): 91–99. http://dx.doi.org/10.1145/3511062.

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Once a programmer knows one language, they can leverage concepts and knowledge already learned, and easily pick up another programming language. But is that always the case? To understand if programmers have difficulty learning additional programming languages, we conducted an empirical study of Stack Overflow questions across 18 different programming languages. We hypothesized that previous knowledge could potentially interfere with learning a new programming language. From our inspection of 450 Stack Overflow questions, we found 276 instances of interference that occurred due to faulty assum

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17

Prihozhy, A. A., and A. M. Zhdanouski. "Genetic algorithm of optimizing the qualification of programmer teams." «System analysis and applied information science», no. 4 (January 28, 2021): 31–38. http://dx.doi.org/10.21122/2309-4923-2020-4-31-38.

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The partitioning a set of professional programmers into a set of teams when a programming project specifies requirements to the competency in various programming technologies and tools is a hard combinatorial problem. The paper proposes a genetic algorithm, which is capable of finding competitive and high-quality partitioning solutions in acceptable runtime. The algorithm introduces chromosomes in such a way as to assign each programmer to a team, define the team staff and easily reconstruct the teams during optimization process. A fitness function characterizes each chromosome with respect to

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18

Kou, Bonan, Shengmai Chen, Zhijie Wang, Lei Ma, and Tianyi Zhang. "Do Large Language Models Pay Similar Attention Like Human Programmers When Generating Code?" Proceedings of the ACM on Software Engineering 1, FSE (2024): 2261–84. http://dx.doi.org/10.1145/3660807.

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Large Language Models (LLMs) have recently been widely used for code generation. Due to the complexity and opacity of LLMs, little is known about how these models generate code. We made the first attempt to bridge this knowledge gap by investigating whether LLMs attend to the same parts of a task description as human programmers during code generation. An analysis of six LLMs, including GPT-4, on two popular code generation benchmarks revealed a consistent misalignment between LLMs' and programmers' attention. We manually analyzed 211 incorrect code snippets and found five attention patterns t

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19

Saputra, Candra Heru, Arief Hermawan, and Donny Avianto. "Prediksi Burnout pada Programmer menggunakan Teknik Pengenalan Pola untuk Identifikasi Dini dana Intervensi." Jurnal Teknologi Informasi dan Ilmu Komputer 11, no. 3 (2024): 667–74. http://dx.doi.org/10.25126/jtiik.1138070.

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Burnout atau kelelahan kerja merupakan sebuah fenomena yang sering dihadapi oleh profesional dalam berbagai bidang, termasuk programmer. Dampak negatif dari burnout mencakup penurunan kesejahteraan individu dan produktivitas kerja. Penelitian ini berkontribusi pada subjek penelitian dengan mengembangkan sebuah model prediktif yang inovatif untuk identifikasi dini dan intervensi burnout pada programmer menggunakan teknik pengenalan pola. Originalitas penelitian ini terletak pada penerapan teknik pengenalan pola secara khusus pada populasi programmer, yang belum banyak dieksplorasi dalam literat

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20

Poon, Pak-Lok, Fei-Ching Kuo, Huai Liu, and Tsong Yueh Chen. "How can non-technical end users effectively test their spreadsheets?" Information Technology & People 27, no. 4 (2014): 440–62. http://dx.doi.org/10.1108/itp-01-2013-0004.

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Purpose – An alarming number of spreadsheet faults have been reported in the literature, indicating that effective and easy-to-apply spreadsheet testing techniques are not available for “non-technical,” end-user programmers. The purpose of this paper is to alleviate the problem by introducing a metamorphic testing (MT) technique for spreadsheets. Design/methodology/approach – The paper discussed four common challenges encountered by end-user programmers when testing a spreadsheet. The MT technique was then discussed and how it could be used to solve the common challenges was explained. An expe

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21

Beal, Don. "ICCA Programmers’ Contacts." ICGA Journal 17, no. 4 (1994): 219. http://dx.doi.org/10.3233/icg-1994-17406.

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22

Manns, Mary Lynn, and David A. Carlson. "Retraining procedural programmers." ACM SIGPLAN OOPS Messenger 4, no. 2 (1993): 131–33. http://dx.doi.org/10.1145/157710.157733.

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23

Florentin, J. "Programmers or designers?" Computer Bulletin 40, no. 4 (1998): 14. http://dx.doi.org/10.1093/combul/40.4.14.

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24

Poulin, J. S. "Experienced, programmers only." IEEE Software 16, no. 3 (1999): 105–6. http://dx.doi.org/10.1109/ms.1999.765793.

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25

Aron, Jacob. "Ditch the programmers." New Scientist 224, no. 2993 (2014): 21. http://dx.doi.org/10.1016/s0262-4079(14)62086-8.

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26

Cottam, Ian. "ABC programmers handbook." Science of Computer Programming 16, no. 3 (1991): 279–80. http://dx.doi.org/10.1016/0167-6423(91)90012-m.

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27

Ross, StevenJ. "Controlling systems programmers." Computer Fraud & Security Bulletin 12, no. 2 (1989): 7–10. http://dx.doi.org/10.1016/0142-0496(89)90027-1.

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28

Clement, Andrew, and Marilyn Mantei. "PUMS and programmers." ACM SIGCHI Bulletin 21, no. 4 (1990): 70. http://dx.doi.org/10.1145/379106.379124.

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29

Larner, A. "Cfor Corporate Programmers." Computer Journal 37, no. 6 (1994): 554. http://dx.doi.org/10.1093/comjnl/37.6.554.

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30

Helm, Richard, and Kim Marriott. "Prolog for programmers." Journal of Logic Programming 4, no. 1 (1987): 83–84. http://dx.doi.org/10.1016/0743-1066(87)90023-9.

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31

Tebra, Hans. "Prolog for programmers." Future Generation Computer Systems 2, no. 4 (1986): 261–62. http://dx.doi.org/10.1016/0167-739x(86)90025-7.

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32

van de Riet, R. P. "Prolog for programmers." Future Generation Computer Systems 3, no. 3 (1987): 221. http://dx.doi.org/10.1016/0167-739x(87)90018-5.

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33

Sánchez-Gordón, Mary, Edmundo Tovar, Ricardo Colomo-Palacios, Nelson Piedra, and Manuel Castro. "Educating Augmented Programmers." Computer 56, no. 12 (2023): 100–104. http://dx.doi.org/10.1109/mc.2023.3313325.

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34

Dr. Marathe Dagadu Mitharam. "Study of Www.W3schools.Com Website for Programmer." International Research Journal on Advanced Engineering and Management (IRJAEM) 2, no. 08 (2024): 2766–70. http://dx.doi.org/10.47392/irjaem.2024.0401.

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In this research paper researcher study about importance of W3school.com website for programmer. The purpose of this research is to investigate various predictions with a view towards forming conclusion regarding the hypothesis that the W3school.com website for programmer. One such online programming learning website which caters to all such needs of programmers is W3Schools website. The URL for it is www.W3Schools.com. W3schools is a school for programmers, covering all the aspects of web development programming W3Schools is the largest web developer programming site on the internet Billion p

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35

Saputra, Candra Heru, Erik Iman Heri Ujianto, and Rianto. "Analisis Burnout Programmer Terhadap Penerapan Secure Coding." Jurnal Teknologi Informasi dan Ilmu Komputer 11, no. 2 (2024): 321–28. http://dx.doi.org/10.25126/jtiik.20241128266.

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Di tengah perkembangan teknologi yang semakin pesat dan meningkatnya insiden keamanan siber, fokus terhadap aspek keamanan dalam pengembangan perangkat lunak menjadi sangat kritikal. Penelitian ini bertujuan untuk mengkaji dampak burnout pada programmer terhadap praktik secure coding. Studi ini dirancang untuk menggali korelasi antara tingkat kelelahan emosional programmer dan efektivitas mereka dalam menerapkan teknik secure coding, memberikan wawasan baru terhadap tantangan dalam pengembangan perangkat lunak yang aman. Penelitian ini mengadopsi pendekatan kuantitatif, dengan mengumpulkan dat

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36

Akmaludin, Akmaludin, Gernaria Sihombing Erene, Rinawati Rinawati, Handayanna Frisma, Sari Dewi Linda, and Arisawati Ester. "Generation 4.0 of the programmer selection decision support system: MCDM-AHP and ELECTRE-elimination recommendations." International Journal of Advances in Applied Sciences (IJAAS) 12, no. 1 (2023): 48–59. https://doi.org/10.11591/ijaas.v12.i1.pp48-59.

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The industrial world in the era of generation 4.0 needs personnel related to human resources who can handle crucial problems, especially in terms of data digitalization. The purpose of this paper is to analyze the supporting criteria that can be used as a measure of programmer selection for the needs of the industrial world which can provide optimal decisions and pay attention to the use of multi-criteria that have different quantitative assessments such as criteria related to contradictory times in its application. The problem, in the industrial world, does not only require speed alone but re

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37

Santoso, Hadi Irman. "Seleksi Penerimaan Programmer Menggunakan Simple Multi Attribute Rating Technique Method (SMART Method) dan Rank Order Centroid." Journal of Information Technology, Software Engineering and Computer Science (ITSECS) 2, no. 1 (2024): 31–39. https://doi.org/10.58602/itsecs.v2i1.95.

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The problem is that programmers who do not have sufficient experience or skills can produce code that is of poor quality, difficult to maintain, and prone to bugs. The selection process for hiring programmers is a critical stage in building a competent and innovative software development team. This selection involves several stages, such as an assessment of understanding of basic programming concepts, problem-solving abilities, and technical skills relevant to the demands of the job. The purpose of this study is to combine the SMART and ROC methods in the selection of programmer acceptance, wh

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38

Lubin, Justin, and Sarah E. Chasins. "How statically-typed functional programmers write code." Proceedings of the ACM on Programming Languages 5, OOPSLA (2021): 1–30. http://dx.doi.org/10.1145/3485532.

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How working statically-typed functional programmers write code is largely understudied. And yet, a better understanding of developer practices could pave the way for the design of more useful and usable tooling, more ergonomic languages, and more effective on-ramps into programming communities. The goal of this work is to address this knowledge gap: to better understand the high-level authoring patterns that statically-typed functional programmers employ. We conducted a grounded theory analysis of 30 programming sessions of practicing statically-typed functional programmers, 15 of which also i

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39

Getov, Vladimir, Paul Gray, Sava Mintchev, and Vaidy Sunderam. "Multi-Language Programming Environments for High Performance Java Computing." Scientific Programming 7, no. 2 (1999): 139–46. http://dx.doi.org/10.1155/1999/975837.

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Recent developments in processor capabilities, software tools, programming languages and programming paradigms have brought about new approaches to high performance computing. A steadfast component of this dynamic evolution has been the scientific community’s reliance on established scientific packages. As a consequence, programmers of high‐performance applications are reluctant to embrace evolving languages such as Java. This paper describes the Java‐to‐C Interface (JCI) tool which provides application programmers wishing to use Java with immediate accessibility to existing scientific package

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40

Patricio, Kai Alexander. "Design Led No‐Code: Enhancing Workflows and Maximizing Insights." Design Management Review 34, no. 3 (2023): 36–42. http://dx.doi.org/10.1111/drev.12372.

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For as technology has moved forward, so has the ability for more people, including designers, to use it.Not a programmer? Not a problem. No‐code has the potential to enable designers to engage in developing solutions for a plethora of problems—tasks previously left to the programmers.

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41

De Raadt, Michael. "Searching for Tomorrow's Programmers." Issues in Informing Science and Information Technology 1 (2004): 0597–603. http://dx.doi.org/10.28945/763.

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42

Koster, Alexis. "PROLOG for COBOL Programmers." Journal of Research on Computing in Education 21, no. 3 (1989): 326–38. http://dx.doi.org/10.1080/08886504.1989.10781883.

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43

Ketler, Karen, Robert D. Smith, and Jay Weinroth. "RECRUITING FOURTH-GENERATION PROGRAMMERS." Information Systems Management 9, no. 4 (1992): 64–67. http://dx.doi.org/10.1080/10580539208906903.

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Gray, Paul. "PROGRAMMERS, EXECUTIVES, AND KNOWLEDGE." Information Systems Management 10, no. 1 (1993): 80–82. http://dx.doi.org/10.1080/10580539308906920.

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45

Rising, Linda. "What Programmers Should Know." IEEE Software 27, no. 4 (2010): 15–17. http://dx.doi.org/10.1109/ms.2010.110.

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46

Jenkins, D. G. "Pascal for Fortran Programmers." Software & Microsystems 4, no. 5-6 (1985): 126. http://dx.doi.org/10.1049/sm.1985.0030.

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47

Freeman, John, Jaakko Järvi, Wonseok Kim, Mat Marcus, and Sean Parent. "Helping programmers help users." ACM SIGPLAN Notices 47, no. 3 (2012): 177–84. http://dx.doi.org/10.1145/2189751.2047892.

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48

Woodfield, S. N., D. W. Embley, and D. T. Scott. "Can Programmers Reuse Software?" IEEE Software 4, no. 4 (1987): 52–59. http://dx.doi.org/10.1109/ms.1987.231064.

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49

Jeffries, R. "Designing interfaces for programmers." IEEE Software 14, no. 6 (1997): 89–91. http://dx.doi.org/10.1109/52.636683.

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50

Arnold, Ken. "Programmers Are People, too." Queue 3, no. 5 (2005): 54–59. http://dx.doi.org/10.1145/1071713.1071731.

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