Name
Abstract | ||
|---|---|---|
The application of machine learning algorithms to source code has grown in the past years. Since these algorithms are quite sensitive to input data, it is not surprising that researchers experiment with input representations. Nowadays, a popular starting point to represent code is abstract syntax trees (ASTs). Abstract syntax trees have been used for a long time in various software engineering dom... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/MSR52588.2021.00014 | 2021 IEEE/ACM 18th International Conference on Mining Software Repositories (MSR) |
Keywords | DocType | ISSN |
Machine learning algorithms,Software algorithms,Static analysis,Tools,Syntactics,Predictive models,Data models | Conference | 2160-1852 |
ISBN | Citations | PageRank |
978-1-7281-8710-5 | 0 | 0.34 |
References | Authors | |
0 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Egor Spirin | 1 | 0 | 0.34 |
| Egor Bogomolov | 2 | 1 | 1.71 |
| Vladimir Kovalenko | 3 | 2 | 2.06 |
| Timofey Bryksin | 4 | 2 | 4.42 |