Pipeline for Automated Code Generation from Backlog Items (PACGBI): Analysis of Potentials and Limitations of Generative AI for Web Development
Gespeichert in:
| 1. Verfasser: | |
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| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Wiesbaden
Springer Fachmedien Wiesbaden
2025
Wiesbaden Springer Vieweg |
| Ausgabe: | 1st ed. 2025 |
| Schriftenreihe: | BestMasters
|
| Schlagworte: | |
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| Beschreibung: | 1 Online-Ressource (XIX, 116 p. 50 illus., 35 illus. in color) |
| ISBN: | 9783658472085 |
| ISSN: | 2625-3615 |
| DOI: | 10.1007/978-3-658-47208-5 |
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Datensatz im Suchindex
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| author | Sarschar, Mahja |
| author_facet | Sarschar, Mahja |
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| dewey-full | 006.76 |
| dewey-hundreds | 000 - Computer science, information, general works |
| dewey-ones | 006 - Special computer methods |
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| dewey-search | 006.76 |
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| dewey-tens | 000 - Computer science, information, general works |
| discipline | Technik Technik Informatik |
| doi_str_mv | 10.1007/978-3-658-47208-5 |
| edition | 1st ed. 2025 |
| format | Electronic eBook |
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| id | DE-604.BV050193479 |
| illustrated | Not Illustrated |
| indexdate | 2025-04-01T04:00:42Z |
| institution | BVB |
| isbn | 9783658472085 |
| issn | 2625-3615 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-035528973 |
| oclc_num | 1510757119 |
| open_access_boolean | |
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| owner_facet | DE-91 DE-BY-TUM DE-1028 DE-Aug4 DE-573 DE-M347 DE-706 DE-1050 DE-1049 DE-1051 DE-898 DE-BY-UBR DE-1102 DE-860 DE-522 DE-19 DE-BY-UBM DE-83 DE-92 DE-2070s DE-861 DE-858 DE-863 DE-BY-FWS DE-862 DE-BY-FWS DE-1043 DE-523 DE-1046 DE-B768 DE-703 DE-634 DE-20 DE-29 DE-188 DE-859 DE-526 |
| physical | 1 Online-Ressource (XIX, 116 p. 50 illus., 35 illus. in color) |
| psigel | ZDB-2-STI ZDB-2-STI_2025 |
| publishDate | 2025 |
| publishDateSearch | 2025 |
| publishDateSort | 2025 |
| publisher | Springer Fachmedien Wiesbaden Springer Vieweg |
| record_format | marc |
| series2 | BestMasters |
| spellingShingle | Sarschar, Mahja Pipeline for Automated Code Generation from Backlog Items (PACGBI) Analysis of Potentials and Limitations of Generative AI for Web Development Web Development Software Management Automation Data Mining and Knowledge Discovery Internet programming Software engineering / Management Data mining |
| title | Pipeline for Automated Code Generation from Backlog Items (PACGBI) Analysis of Potentials and Limitations of Generative AI for Web Development |
| title_auth | Pipeline for Automated Code Generation from Backlog Items (PACGBI) Analysis of Potentials and Limitations of Generative AI for Web Development |
| title_exact_search | Pipeline for Automated Code Generation from Backlog Items (PACGBI) Analysis of Potentials and Limitations of Generative AI for Web Development |
| title_full | Pipeline for Automated Code Generation from Backlog Items (PACGBI) Analysis of Potentials and Limitations of Generative AI for Web Development by Mahja Sarschar |
| title_fullStr | Pipeline for Automated Code Generation from Backlog Items (PACGBI) Analysis of Potentials and Limitations of Generative AI for Web Development by Mahja Sarschar |
| title_full_unstemmed | Pipeline for Automated Code Generation from Backlog Items (PACGBI) Analysis of Potentials and Limitations of Generative AI for Web Development by Mahja Sarschar |
| title_short | Pipeline for Automated Code Generation from Backlog Items (PACGBI) |
| title_sort | pipeline for automated code generation from backlog items pacgbi analysis of potentials and limitations of generative ai for web development |
| title_sub | Analysis of Potentials and Limitations of Generative AI for Web Development |
| topic | Web Development Software Management Automation Data Mining and Knowledge Discovery Internet programming Software engineering / Management Data mining |
| topic_facet | Web Development Software Management Automation Data Mining and Knowledge Discovery Internet programming Software engineering / Management Data mining |
| url | https://doi.org/10.1007/978-3-658-47208-5 |
| work_keys_str_mv | AT sarscharmahja pipelineforautomatedcodegenerationfrombacklogitemspacgbianalysisofpotentialsandlimitationsofgenerativeaiforwebdevelopment |