Abstract | ||
---|---|---|
When developers use the code completion in their Integrated Development Environment (IDE), they provide implicit feedback about the usage of the Application Programming Interfaces (APIs) they program against. We demonstrate how to apply Collaborative Filtering techniques to compute context-sensitive completion recommendations from such feedback and discuss how the approach can be used to bring the knowledge of the crowd to every developer. |
Year | DOI | Venue |
---|---|---|
2014 | 10.1145/2593728.2593730 | CSI-SE |
Keywords | Field | DocType |
collaborative filtering,experimentation,code completion,method-call recommendation,programming environments,crowd sourcing,integrated development environment | World Wide Web,Collaborative filtering,Software engineering,Computer science,Development environment,Application programming interface | Conference |
Citations | PageRank | References |
5 | 0.40 | 3 |
Authors | ||
3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Sven Amann | 1 | 135 | 9.80 |
Sebastian Proksch | 2 | 141 | 11.15 |
Mira Mezini | 3 | 3171 | 211.04 |