Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Synergy between Machine/Deep Learning and Software Engineering: How Far
  Are We?   Since 2009, the deep learning revolution, which was triggered by the
introduction of ImageNet, has stimulated the synergy between Machine Learning
(ML)/Deep Learning (DL) and Software Engineering (SE). Meanwhile, critical
reviews have emerged that suggest that ML/DL should be used cautiously. To
improve the quality (especially the applicability and generalizability) of
ML/DL-related SE studies, and to stimulate and enhance future collaborations
between SE/AI researchers and industry practitioners, we conducted a 10-year
Systematic Literature Review (SLR) on 906 ML/DL-related SE papers published
between 2009 and 2018. Our trend analysis demonstrated the mutual impacts that
ML/DL and SE have had on each other. At the same time, however, we also
observed a paucity of replicable and reproducible ML/DL-related SE studies and
identified five factors that influence their replicability and reproducibility.
To improve the applicability and generalizability of research results, we
analyzed what ingredients in a study would facilitate an understanding of why a
ML/DL technique was selected for a specific SE problem. In addition, we
identified the unique trends of impacts of DL models on SE tasks, as well as
five unique challenges that needed to be met in order to better leverage DL to
improve the productivity of SE tasks. Finally, we outlined a road-map that we
believe can facilitate the transfer of ML/DL-based SE research results into
real-world industry practices.

31
The categories of this paper are: ao-sci
37
The categories of this paper are: supr-con
21
The categories of this paper are: adap-org
5
The categories of this paper are: gr-qc
14
The categories of this paper are: math-ph
32
The categories of this paper are: atom-ph
23
The categories of this paper are: solv-int
26
The categories of this paper are: bayes-an
11
The categories of this paper are: hep-lat
27
The categories of this paper are: comp-gas
25
The categories of this paper are: patt-sol
6
The categories of this paper are: astro-ph
36
The categories of this paper are: cmp-lg
9
The categories of this paper are: nlin
34
The categories of this paper are: chem-ph
28
The categories of this paper are: alg-geom