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Barangi, Hamed, Kolahdouz Rahimi, Shekoufeh, Zamani, Bahman, Khasseh, Ali Akbar. (1399). Model-Driven Software Engineering: A Bibliometric Analysis. سامانه مدیریت نشریات علمی دانشگاه اصفهان, 8(1), 93-108. doi: 10.22108/jcs.2021.125400.1059
Hamed Barangi; Shekoufeh Kolahdouz Rahimi; Bahman Zamani; Ali Akbar Khasseh. "Model-Driven Software Engineering: A Bibliometric Analysis". سامانه مدیریت نشریات علمی دانشگاه اصفهان, 8, 1, 1399, 93-108. doi: 10.22108/jcs.2021.125400.1059
Barangi, Hamed, Kolahdouz Rahimi, Shekoufeh, Zamani, Bahman, Khasseh, Ali Akbar. (1399). 'Model-Driven Software Engineering: A Bibliometric Analysis', سامانه مدیریت نشریات علمی دانشگاه اصفهان, 8(1), pp. 93-108. doi: 10.22108/jcs.2021.125400.1059
Barangi, Hamed, Kolahdouz Rahimi, Shekoufeh, Zamani, Bahman, Khasseh, Ali Akbar. Model-Driven Software Engineering: A Bibliometric Analysis. سامانه مدیریت نشریات علمی دانشگاه اصفهان, 1399; 8(1): 93-108. doi: 10.22108/jcs.2021.125400.1059

Model-Driven Software Engineering: A Bibliometric Analysis

Journal of Computing and Security
مقاله 7، دوره 8، شماره 1، فروردین 2021، صفحه 93-108    اصل مقاله (3.07 M)
نوع مقاله: Research Article
شناسه دیجیتال (DOI): 10.22108/jcs.2021.125400.1059
نویسندگان
Hamed Barangi1؛ Shekoufeh Kolahdouz Rahimi* 1؛ Bahman Zamani1؛ Ali Akbar Khasseh2
1MDSE Research Group, Dept. of Software Engineering, University of Isfahan, Isfahan, Iran.
2Department of Library and Information Science, Payame Noor University, Iran.
چکیده
Model-Driven Software Engineering (MDSE) is a software development methodology that reduces the cost and production time of the final product by concentratingon a higher level of abstraction. The main focus of MDSE is to generate automated code by applying different types of transformations to high-level models. The effectiveness of MDSE has been proved in different domains for solving various types of problems.
This research provides the bibliometric analysis of research in the field of MDSE. The population of the study consists of all MDSE articles indexed in the Web of Science database in ten years from 2010 to 2019. The work aims to identify the volume of scientific production, the most influential countries, universities, authors, and journals, the cooperation network among the countries, universities, and authors, keyword ranking, and Co-word analysis of keywords and titles of the articles. Keyword analysis revealed that Model Transformation and Model Checking are two very important clusters and topics of interest to researchers in this field. The results provide valuable insights that can be used as a guideline by both fresh and experienced researchers for the current state and future trend of MDSE research in different scientific disciplines to establish a baseline beforeinitiating an MDSE research project in the future.
کلیدواژه‌ها
Model-Driven Software Engineering؛ Bibliometrics؛ Web of Science؛ Literature Review
سایر فایل های مرتبط با مقاله
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