AI-Powered Software Bug Tracking Tool
Most information technology (IT) companies still rely on manual approaches to manage and track software bugs during testing sessions. This traditional method is time-consuming, error-prone, and lacks efficiency particularly in large or complex software projects. To address these challenges, this pap...
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| Main Authors: | , |
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| Format: | Proceeding |
| Language: | en |
| Published: |
2026
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| Subjects: | |
| Online Access: | http://ir.unimas.my/id/eprint/51370/1/AI-Powered.pdf http://ir.unimas.my/id/eprint/51370/ https://ieeexplore.ieee.org/document/11334082 |
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