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Mapping the landscape of deep learning in software testing: a bibliometric analysis
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| Published in: | Discover AI |
|---|---|
| Format: | Online Article RSS Article |
| Published: |
2025
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| Subjects: | |
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| _version_ | 1864030189954007043 |
|---|---|
| collection | WordPress RSS FRELIP Feed Integration |
| container_title | Discover AI |
| description | |
| discipline_display | Engineering & Technology |
| discipline_facet | Engineering & Technology |
| format | Online Article RSS Article |
| genre | Journal Article |
| id | rss_article:4183 |
| institution | FRELIP |
| journal_source_facet | Discover AI |
| publishDate | 2025 |
| publishDateSort | 2025 |
| record_format | rss_article |
| spellingShingle | Mapping the landscape of deep learning in software testing: a bibliometric analysis Artificial Intelligence & Machine Learning Computer Science & IT Engineering & Technology |
| sub_discipline_display | Computer Science & IT |
| sub_discipline_facet | Computer Science & IT |
| subject_display | Artificial Intelligence & Machine Learning Computer Science & IT Engineering & Technology Artificial Intelligence & Machine Learning Computer Science & IT Engineering & Technology |
| subject_facet | Artificial Intelligence & Machine Learning Computer Science & IT Engineering & Technology |
| title | Mapping the landscape of deep learning in software testing: a bibliometric analysis |
| title_auth | Mapping the landscape of deep learning in software testing: a bibliometric analysis |
| title_full | Mapping the landscape of deep learning in software testing: a bibliometric analysis |
| title_fullStr | Mapping the landscape of deep learning in software testing: a bibliometric analysis |
| title_full_unstemmed | Mapping the landscape of deep learning in software testing: a bibliometric analysis |
| title_short | Mapping the landscape of deep learning in software testing: a bibliometric analysis |
| title_sort | mapping the landscape of deep learning in software testing: a bibliometric analysis |
| topic | Artificial Intelligence & Machine Learning Computer Science & IT Engineering & Technology |
| url | https://link.springer.com/article/10.1007/s44163-025-00596-z |