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Software Defect Prediction via Deep Belief Network
Defect distribution prediction is a meaningful topic because software defects are the fundamental cause of many attacks and data loss. Building accurate...
文献获取Software Defect Prediction via Deep Belief Network
Defect distribution prediction is a meaningful topic because software defects are the fundamental cause of many attacks and data loss. Building accurate...
Software Defect Prediction via Deep Belief Network
Defect distribution prediction is a meaningful topic because software defects are the fundamental cause of many attacks and data loss. Building accurate...
Hybrid model with optimization tactics for software defect prediction
In the detection step, a hybrid Long Short-Term Memory (LSTM) and Deep Belief Network (DBN) classifiers are used to predict the defects. To provide ...
Hybrid model with optimization tactics for software defect prediction
In the detection step, a hybrid Long Short-Term Memory (LSTM) and Deep Belief Network (DBN) classifiers are used to predict the defects. To provide ...
bjCnet: A contrastive learning-based framework for software defect prediction
Defect prediction based on deep learning is proposed to provide practitioners with reliable and practical tools to determine whether an area of code is ...
Software Defect Prediction via Generative Adversarial Networks and Pre-Trained Model
Software defect prediction, which aims to predict defective modules during software development, has been implemented to assist developers in identifyin...
Software Defect Prediction Using Hybrid Machine Learning Techniques: A Comparative Study
When a customer uses the software, then it is possible to occur defects that can be removed in the updated versions of the software. Hence, in the prese...
RETRACTED ARTICLE: Adaptive recurrent neural network for software defect prediction with the aid of quantum theory- particle swarm o...
With the proliferation of software programs, predicting defects has become a big concern. Therefore, to overcome this challenge, this research introduce...
Software defect prediction using deep learning
In the process of software development, a defect is often present but hard to detect if the software in development is complex. This could be a problem ...
