| Title: | The use of AI in software engineering : a synthetic knowledge synthesis of the recent research literature |
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| Authors: | ID Kokol, Peter (Author) |
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| Files: |  information-15-00354.pdf (1,39 MB)
MD5: 45B34131D9C6C1C1EC7BCF32E852B489
 https://www.mdpi.com/2078-2489/15/6/354
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| Language: | English |
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| Work type: | Article |
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| Typology: | 1.02 - Review Article |
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| Organization: | FERI - Faculty of Electrical Engineering and Computer Science
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| Abstract: | Artificial intelligence (AI) has witnessed an exponential increase in use in various applications. Recently, the academic community started to research and inject new AI-based approaches
to provide solutions to traditional software-engineering problems. However, a comprehensive and
holistic understanding of the current status needs to be included. To close the above gap, synthetic
knowledge synthesis was used to induce the research landscape of the contemporary research literature on the use of AI in software engineering. The synthesis resulted in 15 research categories and
5 themes—namely, natural language processing in software engineering, use of artificial intelligence
in the management of the software development life cycle, use of machine learning in fault/defect
prediction and effort estimation, employment of deep learning in intelligent software engineering
and code management, and mining software repositories to improve software quality. The most
productive country was China (n = 2042), followed by the United States (n = 1193), India (n = 934),
Germany (n = 445), and Canada (n = 381). A high percentage (n = 47.4%) of papers were funded,
showing the strong interest in this research topic. The convergence of AI and software engineering
can significantly reduce the required resources, improve the quality, enhance the user experience,
and improve the well-being of software developers. |
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| Keywords: | software engineering, artificial intelligence, machine learning, synthetic knowledge synthesis, AI |
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| Publication status: | Published |
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| Publication version: | Version of Record |
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| Submitted for review: | 06.05.2024 |
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| Article acceptance date: | 11.06.2024 |
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| Publication date: | 14.06.2024 |
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| Publisher: | MDPI |
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| Year of publishing: | 2024 |
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| Number of pages: | 14 str. |
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| Numbering: | Vol. 15, iss. 6, [art. no.] 354 |
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| PID: | 20.500.12556/DKUM-94076  |
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| UDC: | 004.8 |
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| ISSN on article: | 2078-2489 |
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| COBISS.SI-ID: | 199165187 |
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| DOI: | 10.3390/info15060354 |
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| Copyright: | © 2024 by the author |
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| Publication date in DKUM: | 30.07.2025 |
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| Views: | 413 |
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| Downloads: | 16 |
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| Metadata: |    |
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| Categories: | Misc.
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