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Does Deep Learning improve the performance of duplicate bug ...


Does Deep Learning improve the performance of duplicate bug ...

In this paper, we investigate whether well-known DL-based methods outperform classic information retrieval (IR) based methods on the duplicate bug report ...

Does Deep Learning improve the performance of duplicate bug ...

AbstractDo Deep Learning (DL) techniques actually help to improve the performance of duplicate bug report detection? Prior studies suggest that they do, ...

Does deep learning improve the performance of duplicate bug ...

Does Deep Learning improve the performance of duplicate bug report detection? An empirical study✩. Yuan Jianga, Xiaohong Sua,∗. , Christoph Treudeb, Chao ...

Does deep learning improve the performance of duplicate bug ...

Do Deep Learning (DL) techniques actually help to improve the performance of duplicate bug report detection? Prior studies suggest that they do, ...

Does Deep Learning improve the performance of duplicate bug ...

Does Deep Learning improve the performance of duplicate bug report detection? An empirical study ... To read the full-text of this research, you can request a ...

Balancing Efficiency and Accuracy in Duplicate Bug Report Detection

[14] were the first to introduce deep learning into duplicate bug ... Wang, “Does deep learning improve the performance of duplicate bug report ...

Does deep learning improve the performance of duplicate bug ...

Do Deep Learning (DL) techniques actually help to improve the performance of duplicate bug report detection? Prior studies suggest that they do, if the ...

CUPID: Leveraging ChatGPT for More Accurate Duplicate Bug ...

With the recent advancement of deep learning, researchers have also proposed several deep learning-based approaches to address the DBRD task. In ...

Towards Accurate Duplicate Bug Retrieval Using Deep Learning ...

This work proposes a retrieval and classification model using Siamese Convolutional Neural Networks and Long Short Term Memory for accurate detection and ...

Deep Learning and Search-Based Approach for Duplicate Bug ...

Deep transfer learning offers mitigation by letting algorithms built upon previous knowledge from different tasks or locations. In this article, a modular deep ...

Duplicate Bug Report Detection and Classification System Based on ...

An automatic bug report detection and classification model is proposed using deep learning technique that outperforms the existing systems by achieving an ...

Duplicate Bug Report Detection: How Far Are We?

Deep learning-based SABD can achieve similar or better performance than REP. ... Does Deep Learning improve the performance of duplicate bug report detection?

Duplicate Bug Report Detection by Using Sentence Embedding and ...

Researchers have proposed various methods to detect such duplicate bug reports. Those methods can broadly categorized into ML(Machine Learning) and IR( ...

A Survey on Bug Deduplication and Triage Methods from Multiple ...

Does Deep Learning improve the performance of duplicate bug report detection? An empirical study. J. Syst. Softw. 2023, 198, 111607. [Google Scholar] ...

Duplicate Bug Report Detection and Classification System Based on ...

These unwanted words can degrade the learning performance of the detection system. ... Hence, it is summarized as pro- posed deep learning approach improves the ...

Duplicate Bug Report Detection and Classification System Based on ...

When applied to bug reports of the Eclipse repository, we found that our approach achieves improvement of about 73% in product prediction accuracy, and 85% in ...

A Deep Learning Technique Based Duplicate Bug Report Detection ...

can be degrading the performance of duplicate bug report detection and classification system. To enhance the results of system, previous researchers have ...

Detecting Duplicate Bug Reports with Convolutional Neural Networks

Recently,. Deep Learning (DL) techniques are employed to enhance the performance of NLP in IR [11], [12], since DL techniques can effectively ...

A Novel Two-Step Classification Approach for Runtime Performance ...

Duplicate detection needs feature extraction, which is a time-consuming process. Both approaches suffer runtime issues, because they should check the new bug ...

Can I duplicate my entire dataset to make more available data for ...

Straight up duplicating your entire dataset without modifying it will not change the gradients being calculated, it'll just make each epoch take longer.