HIGHLIGHTS
- What: To analyze the effectiveness of the model in predicting faults the dataset was split so that it could be used for testing and training purposes. Training This work proposes a hybrid ensembles model for accurate software bug identification. For model evaluation, the authors focus on accuracy.
- Who: shahrukh ansari from the (UNIVERSITY) have published the research: Deep Hybrid Intelligence: CNN-LSTM for Volume:, in the Journal: (JOURNAL)
- How: The following findings were obtained by using the CNN + LSTM model to predict software bug classification in this work on the "Software bug predictions . . .
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