Name
Abstract | ||
|---|---|---|
This paper presents the features of a model that relates the natural language found in identifiers with program semantics. The model takes advantage of part of speech information and static-analysis-based program models to understand how different types of statically-derived semantics correlates with the natural language meaning of identifiers. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/ICSME.2019.00062 | 2019 IEEE International Conference on Software Maintenance and Evolution (ICSME) |
Keywords | Field | DocType |
Program Comprehension, Identifier Names, Static Analysis | Programming language,Identifier,Systems engineering,Computer science,Part of speech,Grammar,Natural language,Software maintenance,Semantics | Conference |
ISSN | ISBN | Citations |
1063-6773 | 978-1-7281-3095-8 | 2 |
PageRank | References | Authors |
0.36 | 0 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Christian D. Newman | 1 | 66 | 11.50 |
| Anthony Peruma | 2 | 28 | 5.80 |
| Reem S. Alsuhaibani | 3 | 20 | 3.88 |