Vibe Coding in Practice: Motivations, Challenges, and a Future Outlook - a Grey Literature Review
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| Názov: | Vibe Coding in Practice: Motivations, Challenges, and a Future Outlook - a Grey Literature Review |
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| Autori: | Fawzy, Ahmed, Tahir, Amjed, Blincoe, Kelly |
| Informácie o vydavateľovi: | Zenodo |
| Rok vydania: | 2025 |
| Zbierka: | Zenodo |
| Predmety: | Vibe coding, AI-assisted programming, AI-generated code |
| Popis: | This dataset accompanies the paper “Vibe Coding in Practice: Motivations, Challenges, and a Future Outlook – a Grey Literature Review”. It contains systematic extractions from 154 grey literature sources on vibe coding, including 101 included sources and 518 coded behavioral units. Four sheets are provided: (1) GL_Screening_Data_Extraction ( row-level quotes, interpretations, themes, and metadata); (2) GL_QA Scores & Evidence (quality assessment scores with justifications); (3) GL_QA Scoring Guide (the rubric used for scoring); and (4) Stats (summary counts of sources and behavioral units). The dataset allows others to reproduce and build on our analysis of motivations, experiences, QA practices, and code quality perceptions in vibe coding. |
| Druh dokumentu: | dataset |
| Jazyk: | unknown |
| Relation: | https://zenodo.org/records/17188020; oai:zenodo.org:17188020; https://doi.org/10.5281/zenodo.17188020 |
| DOI: | 10.5281/zenodo.17188020 |
| Dostupnosť: | https://doi.org/10.5281/zenodo.17188020 https://zenodo.org/records/17188020 |
| Rights: | Creative Commons Attribution 4.0 International ; cc-by-4.0 ; https://creativecommons.org/licenses/by/4.0/legalcode |
| Prístupové číslo: | edsbas.9CD563D3 |
| Databáza: | BASE |
Nájsť tento článok vo Web of Science | Abstrakt: | This dataset accompanies the paper “Vibe Coding in Practice: Motivations, Challenges, and a Future Outlook – a Grey Literature Review”. It contains systematic extractions from 154 grey literature sources on vibe coding, including 101 included sources and 518 coded behavioral units. Four sheets are provided: (1) GL_Screening_Data_Extraction ( row-level quotes, interpretations, themes, and metadata); (2) GL_QA Scores & Evidence (quality assessment scores with justifications); (3) GL_QA Scoring Guide (the rubric used for scoring); and (4) Stats (summary counts of sources and behavioral units). The dataset allows others to reproduce and build on our analysis of motivations, experiences, QA practices, and code quality perceptions in vibe coding. |
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| DOI: | 10.5281/zenodo.17188020 |