Improving Bug Localization With Effective Contrastive Learning Representation
Automated localization of buggy files can accelerate developers’ efficiency of software maintenance, improving the quality of software products. State-of-the-art approaches for bug localization is based on neural networks, e.g., RNN or CNN, and can learn semantic feature from the given bu...
| الحاوية / القاعدة: | IEEE Access |
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| المؤلفون الرئيسيون: | , , |
| التنسيق: | مقال |
| اللغة: | الإنجليزية |
| منشور في: |
IEEE
2023-01-01
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| الموضوعات: | |
| الوصول للمادة أونلاين: | https://ieeexplore.ieee.org/document/9982627/ |