Deep Learning in Requirement Engineering: A Statistical Justification

Software engineering (SE) has recently seen an increase in the use of deep learning. Nevertheless, numerous unresolved issues ought to be investigated. How do analysts apply their deep understanding of SE issues? What SE stages are utilized by profound learning? Does extensive education benefit professionals? The responses can be used by professionals and scientists to develop practical and profound learning models for SE tasks. We examine the bibliographies of 98 SE research papers that employ deep learning techniques to respond to these inquiries. Deep learning integrated solutions have facilitated 41 SE tasks across all SE phases, as shown by our findings. Which, in 84.7% of papers, only use standard profound learning models and variations to address SE issues. Utilizing significant learning systems brings worries up with respect to their practicability. The viability, proficiency, understandability, and testability of profound learning-based arrangements might provoke the curiosity of extra SE specialists.