In this paper, we employ transfer-learning techniques to predict clone consistency at both the time of clone creating and clone changing in order to avoid clone ...
The article introduces a novel Cross-Project Defect Prediction approach called Local Preserving and Distribution Alignment (LPDA), which outperforms ...
In this paper, we employ transfer-learning techniques to predict clone consistency at both the time of clone creating and clone changing in order to avoid clone ...
Cross-project clone consistent-defect prediction via transfer-learning method · List of references · Publications that cite this publication.
Mar 18, 2024 · This method aims to improve the transferability of features and achieve better performance than other multisource CPDP methods. Jin [38] used ...
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Jun 5, 2024 · Transfer semantic features are extracted by adding a transfer learning algorithm to the long short-term memory (LSTM) network. Then, the ...
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Sep 6, 2019 · In this work, we use a novel balanced distribution adaptation (BDA) based transfer learning method to narrow this gap.
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Jul 15, 2024 · These approaches leverage the available data from other projects to allow for accurate predictions in the target project that lacks consistent.
To solve this problem, this paper proposes a cross-project bug type prediction framework based on transfer learning. Transfer learning breaks the assumption of ...
Apr 24, 2024 · Software cross-project defect prediction (CPDP) makes use of cross-project (CP) data to overcome the lack of data necessary to train ...
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