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Relationships between computational thinking and the quality of computer programs
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In: ISSN: 1360-2357 ; EISSN: 1573-7608 ; Education and Information Technologies ; https://hal.archives-ouvertes.fr/hal-03596834 ; Education and Information Technologies, Springer Verlag, In press, ⟨10.1007/s10639-022-10921-z⟩ (2022)
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One model for the learning of language.
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In: Proceedings of the National Academy of Sciences of the United States of America, vol 119, iss 5 (2022)
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Justification of points and scenarios for the development of rural and settlement communities in Ukraine (on the example of Luhansk region) ...
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Eine agentenbasierte Architektur für Programmierung mit gesprochener Sprache ...
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ФОРМИРОВАНИЕ «ГИБКИХ НАВЫКОВ» КАК ОДИН ИЗ СОВРЕМЕННЫХ ТРЕНДОВ В ЛИНГВОДИДАКТИКЕ ... : FORMATION OF SOFT SKILLS AS ONE OF THE MODERN TRENDS IN LINGUISTICS ...
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Дюсенова Д.. - : Deutsche Internationale Zeitschrift für zeitgenössische Wissenschaft, 2022
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Entrepreneurship Intentions Analysis of Mexican University Students Using an Artificial Neural Network to Promote Sustainable Businesses: An Interdisciplinary Perspective
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In: Sustainability; Volume 14; Issue 4; Pages: 2280 (2022)
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A Survey of Automatic Source Code Summarization
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In: Symmetry; Volume 14; Issue 3; Pages: 471 (2022)
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Abstract:
Source code summarization refers to the natural language description of the source code’s function. It can help developers easily understand the semantics of the source code. We can think of the source code and the corresponding summarization as being symmetric. However, the existing source code summarization is mismatched with the source code, missing, or out of date. Manual source code summarization is inefficient and requires a lot of human efforts. To overcome such situations, many studies have been conducted on Automatic Source Code Summarization (ASCS). Given a set of source code, the ASCS techniques can automatically generate a summary described with natural language. In this paper, we give a review of the development of ASCS technology. Almost all ASCS technology involves the following stages: source code modeling, code summarization generation, and quality evaluation. We further categorize the existing ASCS techniques based on the above stages and analyze their advantages and shortcomings. We also draw a clear map on the development of the existing algorithms.
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Keyword:
deep learning; neural machine translation; program analysis; source code summarization
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URL: https://doi.org/10.3390/sym14030471
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日本語教育実習における実習生の学びと変化 : 日本語教師養成講座の改善にむけて ; The Learning and Change of Teacher Trainees during Japanese Language Education Training : Toward Improving the Teacher Training Program
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Reimagining Family Engagement: A Drive-Thru Bilingual Family Literacy & Math Program
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In: National Youth Advocacy and Resilience Conference (2022)
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Phonological awareness digital program: a randomized controlled study ; Programa digital para la conciencia fonológica: un estudio aleatorizado
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Eine agentenbasierte Architektur für Programmierung mit gesprochener Sprache
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Phonological awareness digital program: a randomized controlled study ; Programa digital para la conciencia fonológica: un estudio aleatorizado
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Sá, Marta; Sa Couto, P.; Lousada, Marisa. - : Universidad de Castilla-La Mancha: Colegio Oficial de Logopedas de Castilla-La Mancha, 2022. : Universidad Complutense de Madrid: Facultad de Psicología, 2022
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Counterstories of Honors Students of Color
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In: Honors in Practice -- Online Archive (2022)
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Incremental Acquisition of a Minimalist Grammar using an SMT-Solver
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In: Proceedings of the Society for Computation in Linguistics (2022)
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