Deep neural network based hybrid approach for software defect prediction using software metrics

Research article (Cluster Computing, 2018) · cited 193× · AI/ML
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Deep neural network based hybrid approach for software defect prediction using software metrics

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Deep neural network based hybrid approach for software defect prediction using software metrics is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Deep neural network based hybrid approach for software defect prediction using software metrics. Retrieved May 24, 2026, from https://4ort.xyz/entity/deep-neural-network-based-hybrid-approach-for-software-defect-prediction-using-software-metrics
MLA “Deep neural network based hybrid approach for software defect prediction using software metrics.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/deep-neural-network-based-hybrid-approach-for-software-defect-prediction-using-software-metrics.
BibTeX @misc{4ortxyz_deep-neural-network-based-hybrid-approach-for-software-defect-prediction-using-software-metrics_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Deep neural network based hybrid approach for software defect prediction using software metrics}}, year = {2026}, url = {https://4ort.xyz/entity/deep-neural-network-based-hybrid-approach-for-software-defect-prediction-using-software-metrics}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Deep neural network based hybrid approach for software defect prediction using software metrics — https://4ort.xyz/entity/deep-neural-network-based-hybrid-approach-for-software-defect-prediction-using-software-metrics (retrieved 2026-05-24)

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