Utilizing Deep Learning to Optimize Software Development Processes

arXiv:2404.13630v1 Announce Type: cross
Abstract: This study explores the application of deep learning technologies in software development processes, particularly in automating code reviews, error prediction, and test generation to enhance code quality and development efficiency. Through a series of empirical studies, experimental groups using deep learning tools and control groups using traditional methods were compared in terms of code error rates and project completion times. The results demonstrated significant improvements in the experimental group, validating the effectiveness of deep learning …

abstract application arxiv code code quality control cs.ai cs.cl cs.se deep learning development development processes efficiency error experimental learning tools prediction processes quality reviews series software software development studies study technologies test through tools type