Bibliografías temáticas / Code source (informatique) – Documentation

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Literatura académica sobre el tema "Code source (informatique) – Documentation"

Autor: Grafiati
Publicado: 31 de agosto de 2024

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Artículos de revistas sobre el tema "Code source (informatique) – Documentation"

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Wang 王冰, Bingjie 洁., Joel Leja, Ivo Labbé, et al. "The UNCOVER Survey: A First-look HST+JWST Catalog of Galaxy Redshifts and Stellar Population Properties Spanning 0.2 ≲ z ≲ 15." Astrophysical Journal Supplement Series 270, no. 1 (2023): 12. http://dx.doi.org/10.3847/1538-4365/ad0846.

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Abstract The recent UNCOVER survey with the James Webb Space Telescope (JWST) exploits the nearby cluster A2744 to create the deepest view of our Universe to date by leveraging strong gravitational lensing. In this work, we perform photometric fitting of more than 50,000 robustly detected sources out to z ∼ 15. We show the redshift evolution of stellar ages, star formation rates, and rest-frame colors across the full range of 0.2 ≲ z ≲ 15. The galaxy properties are inferred using the Prospector Bayesian inference framework using informative Prospector-β priors on the masses and star formation
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Pan, Lu, Huy Q. Dinh, Yudi Pawitan, and Trung Nghia Vu. "Isoform-level quantification for single-cell RNA sequencing." Bioinformatics 38, no. 5 (2021): 1287–94. http://dx.doi.org/10.1093/bioinformatics/btab807.

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Abstract Motivation RNA expression at isoform level is biologically more informative than at gene level and can potentially reveal cellular subsets and corresponding biomarkers that are not visible at gene level. However, due to the strong 3ʹ bias sequencing protocol, mRNA quantification for high-throughput single-cell RNA sequencing such as Chromium Single Cell 3ʹ 10× Genomics is currently performed at the gene level. Results We have developed an isoform-level quantification method for high-throughput single-cell RNA sequencing by exploiting the concepts of transcription clusters and isoform
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Couture, Stéphane. "L'écriture collective du code source informatique." Revue d'anthropologie des connaissances 6, 1, no. 1 (2012): 21. http://dx.doi.org/10.3917/rac.015.0061.

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Boumann, K. "Terminologische Databank En Geautomatiseerde Informatie En Documentatie." Vertalen in theorie en praktijk 21 (January 1, 1985): 128–33. http://dx.doi.org/10.1075/ttwia.21.16bou.

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This paper is essentially a progress report on - the European Community terminology data bank, known as Eurodicautom, - the machine translation projects Systran and Eurotra - access to Community, European and American data banks. Eurodicom is now a fully developed electronic dictionary, containing about 334.000 terminological units (single words, phrases and abbreviations) in English, 318.000 in French, 239.000 in German, 150.000 in Italian, 145.000 in Danish, 136.000 in Dutch, 64.000 in Spanish, 10.000 in Portuguese and 700 in Latin (5 November 1984). Translations are accompanied by descripti
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Al-Msie'deen, Ra'Fat, and Anas H. Blasi. "Supporting software documentation with source code summarization." International Journal of ADVANCED AND APPLIED SCIENCES 6, no. 1 (2019): 59–67. http://dx.doi.org/10.21833/ijaas.2019.01.008.

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Sulír, Matúš, and Jaroslav Porubän. "Source Code Documentation Generation Using Program Execution." Information 8, no. 4 (2017): 148. http://dx.doi.org/10.3390/info8040148.

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Wu, Y. C., and T. P. Baker. "A source code documentation system for Ada." ACM SIGAda Ada Letters IX, no. 5 (1989): 84–88. http://dx.doi.org/10.1145/71340.71344.

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Arthur, Menaka Pushpa. "Automatic Source Code Documentation using Code Summarization Technique of NLP." Procedia Computer Science 171 (2020): 2522–31. http://dx.doi.org/10.1016/j.procs.2020.04.273.

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Carvalho, Nuno, Alberto Simões, and José Almeida. "DMOSS: Open source software documentation assessment." Computer Science and Information Systems 11, no. 4 (2014): 1197–207. http://dx.doi.org/10.2298/csis131005027c.

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Besides source code, the fundamental source of information about open source software lies in documentation, and other non source code files, like README, INSTALL, or How-To files, commonly available in the software ecosystem. These documents, written in natural language, provide valuable information during the software development stage, but also in future maintenance and evolution tasks. DMOSS3 is a toolkit designed to systematically assess the quality of non source code content found in software packages. The toolkit handles a package as an attribute tree, and performs several tree traverse
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Wang, April Yi, Dakuo Wang, Jaimie Drozdal, et al. "Documentation Matters: Human-Centered AI System to Assist Data Science Code Documentation in Computational Notebooks." ACM Transactions on Computer-Human Interaction 29, no. 2 (2022): 1–33. http://dx.doi.org/10.1145/3489465.

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Computational notebooks allow data scientists to express their ideas through a combination of code and documentation. However, data scientists often pay attention only to the code, and neglect creating or updating their documentation during quick iterations. Inspired by human documentation practices learned from 80 highly-voted Kaggle notebooks, we design and implement Themisto, an automated documentation generation system to explore how human-centered AI systems can support human data scientists in the machine learning code documentation scenario. Themisto facilitates the creation of document
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