AI-driven tools in modern software quality assurance: an assessment of benefits, challenges, and future directions
Traditional quality assurance (QA) methods face significant challenges in addressing the complexity, scale, and rapid iteration cycles of modern software systems and are strained by limited resources available, leading to substantial costs associated with poor quality. The object of this research is...
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| Veröffentlicht in: | Technology audit and production reserves (Online) Jg. 3; H. 2(83); S. 44 - 54 |
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| Hauptverfasser: | , , |
| Format: | Journal Article |
| Sprache: | Englisch |
| Veröffentlicht: |
26.05.2025
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| ISSN: | 2664-9969, 2706-5448 |
| Online-Zugang: | Volltext |
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