• Journal of Engineering Education Research
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• v.15 no.3
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• pp.66-71
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• 2012

In this paper, we try to explore basic factors that defines easy-to-learn programming language and easy-to-learn development environments for novice students who have not been exposed to computer programming language education. For these purpose, we investigate and analyze computer programming languages that are widely used in industrial environments, and present the summary and analyzed results. From the experimental results, most novice programmers understand computer programming languages in terms of procedural programming languages rather than in terms of functional programming languages or object oriented programming languages. Furthermore, we have found that, for effective education of basic level programming languages, factors of development environments are much more important than factors of programming paradigms that the computer programming languages are based on.

• Journal of KIISE
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• v.42 no.4
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• pp.496-503
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• 2015

Most programming languages are designed based on English. It becomes another barrier in learning programming languages in non-English speaking country. If a programming language is presented using a native language, the education cost of programming will be much cheaper and the programming itself can be much more fun. However, designing the programming languages based on native languages has not been much focused or published up to now. It is partly because the evolution of popular programming languages is so fast, and partly because the efficiency of programs is much stressed than the source code. But, the designing of programming languages based on native language is not a small issue, especially if we reflect on the education of programming. In fact, there have been significant efforts reported in the Korean programming languages so far, but it has not practically been used in the education. This paper introduces yet another Korean programming language, namely Sprout, which is concise and can be easily learned by beginners. To demonstrate the conciseness of Sprout, we have performed two experiments on Sprout. Firstly, we compared the sizes of the programs in Sprout with those in former Korean programming languages. Secondly, we compared the size of Sprout, the language itself, with those of popular programming languages such as C and Python. According to the experiments, Sprout programs are more concise to 10% on average than those in former Korean languages. Furthermore, Sprout itself is more compact to 24% on average than other popular programming languages.

• Journal of Information Processing Systems
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• v.17 no.3
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• pp.537-555
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• 2021

Many researchers have carried out studies related to programming languages since the beginning of computer science. Besides programming with traditional programming languages (i.e., procedural, object-oriented, functional programming language, etc.), a new paradigm of programming is being carried out. It is programming with natural language. By programming with natural language, we expect that it will free our expressiveness in contrast to programming languages which have strong constraints in syntax. This paper surveys the approaches that generate source code automatically from a natural language description. We also categorize the approaches by their forms of input and output. Finally, we analyze the current trend of approaches and suggest the future direction of this research domain to improve automatic code generation with natural language. From the analysis, we state that researchers should work on customizing language models in the domain of source code and explore better representations of source code such as embedding techniques and pre-trained models which have been proved to work well on natural language processing tasks.

• Journal of Korean Institute of Industrial Engineers
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• v.19 no.3
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• pp.59-70
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• 1993

This paper presents the results of experiments which compare the software complexity between programming languages, i.e, FORTRAN IV and FORTRAN 77, PASCAL and C language, respectively. Each experiment is performed to compare the complexity between programs of same problems using Halstead's method based on operator, and McCabe's based on data flow. As the results of 25 test programs experiments, FORTRAN 77 languages shows superiority to FORTRAN IV languages, and C than that of PASCAL languages, in the aspect of the global software complexity.

• Journal of Korea Society of Industrial Information Systems
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• v.17 no.1
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• pp.95-104
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• 2012

Although the educational institutions of computers have evolved to train students in pace with the changes of computing, many students still believe that computer programming is hard to be mastered. The reluctance of students toward programming languages have been tied to the decrease of computer-related majors and now many countries are in short of computer programmers. By investigating the similarities among eleven popular programming languages, this research is intended to measure the relative distances and understand the dimensions that scattered the languages.

• Electronics and Telecommunications Trends
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• v.35 no.5
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• pp.134-138
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• 2020

Blockchain is an enabling technology for managing data with high trust and transparency among connected computers. Blockchain emerged with the advent of the Bitcoin cryptocurrency, and then, evolved as general-purpose platforms such as Ethereum, EOS, R3 Corda, and IBM Hyperledger Fabric. The application of blockchain covers a broad range of areas such as fintech, decentralized identity, distribution, real estate trading, games, and drone air traffic management. Smart contracts are indispensable for constructing blockchain services. This survey classifies smart contract languages by their features and shows their differences from existing general-purpose programming languages.

• Journal of KIISE:Software and Applications
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• v.31 no.5
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• pp.632-642
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• 2004

The modern softwares have features of modularity and extensibility, and there are several researches on extensible programming languages and compilers. In this paper, we introduce Argos programming language, which provides the extensibility with the concept of plugin languages. A plugin language is used to define a method of a class, and the plugin language processors can be added and replaced dynamically The plugin languages may be used to support multiparadigm programming or domain specific languages.

• The Transactions of the Korean Institute of Electrical Engineers
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• v.38 no.9
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• pp.740-752
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• 1989

Many works have been reported in various fields on the subject of controlling a robot with high-level robot languages. This paper presents one such effort and explains the development of an automatic robot programming system which utilizes the concept of the task level language. This system is expected to act as an intelligent supporting tool in robot programming and be put into practical use. Emphasis is placed on the role of the programming system as a tool that generates the executable robot program according to the user specified tasks. Several task level commands are used in the developed system, and the resulting inflexibility is complemented by the motion level commands of the motion level robot languages. Thus, the advantages of both task and motion level languages are utilized, and no knowledge of specific language grammer is needed even when using motion level commands. To increase the usability of the developed system, various methods are provided for supplementing the programming system using taught data.

• Journal of The Korean Association of Information Education
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• v.18 no.2
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• pp.317-324
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• 2014

In this paper, we investigate the effects of programming education using educational programming languages. We select 70 papers which contain 101 individual experimental studies we can estimate the effect size from. The average effect size of the studies is .641, which means that programming education has modest effects on the learners. The average effect size of the learners' cognitive and affective domains are 0.632 and 0.666, respectively. The average effect size by the controlled variables such as school level, experimental periods, and programming languages have no statistically significant difference. The results of our study show that the experimental group receiving programming education, can be expected perform about 23.9% better compared to the control group having received no programming education.

• KIISE Transactions on Computing Practices
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• v.23 no.5
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• pp.304-309
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• 2017

Programmers use multiple languages to reuse legacy code best suited to their problems. However, it is quite challenging to develop error-free multilingual programs because new types of bugs occur since misunderstanding about language interfaces such as Java Native Interface (JNI) and Python/C. There is a considerable amount of research to overcome multilingual program bugs and errors but these researches have less consideration about substantiality of programming languages, language interfaces, and bugs to evaluate their analyses and tools. In this paper, we have identified and establish substantiality of multilingual programming research with empirical study about diversity and interoperability of programming languages in Ubuntu software ecosystem based on real-world statistical data.