Software Engineering Meets Deep Learning: A Literature Review.
Year: 2019
Type: preprint
Abstract: Deep learning (DL) is being used nowadays in many traditional software engineering (SE) problems and tasks, such as software documentation, defect prediction, and software testing. However, since the renaissance of DL techniques is still very recent, we lack works that summarize and condense the most recent and relevant research conducted in the intersection of DL and SE. Therefore, in this paper we describe the first results of a literature review covering 81 papers about DL & SE.
Source: arXiv (Cornell University)
Language: English
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W2977117669