Internet-Scale Code Search
By Rosalva E. Gallardo-Valencia, Susan Elliott Sim. 2009
57 citations recorded by the source corpus.
Subfields: Computer Science Applications, Information Systems, Software, Information Retrieval & Search
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computer Science Applications
- Premkumar T. Devanbu
- Charles Sutton
- Miltiadis Allamanis
- Earl T. Barr
- Zhendong Su
- Michael Pradel
- Koushik Sen
- Vincent J. Hellendoorn
In Information Systems
- Charles Sutton
- Miltiadis Allamanis
- Premkumar T. Devanbu
- Earl T. Barr
- Michael Pradel
- Rafael-Michael Karampatsis
- Rishabh Singh
- Eran Yahav
In Software
- Charles Sutton
- Miltiadis Allamanis
- Premkumar T. Devanbu
- Earl T. Barr
- Zhendong Su
- Michael Pradel
- Rishabh Singh
- Marc Brockschmidt
In Information Retrieval & Search
Citations in the corpus
- A Survey of Machine Learning for Big Code and Naturalness (2017, background): “mmon activity for software engineers [14, 172] — can employ natural language queries. Software engineering researchers have focused on the code search problem using information retrieval (IR) methods [68, 92, 128, 178]. Niu et al. [145] has used learning-to-rank methodsbutwithmanuallyextractedfeatur”
- A Study of "Wheat" and "Chaff" in Source Code (2015, background): “Finally, code search must also be ‘internet-scale’ [10], and with a modest computer, we can compute minsets for corpora of code of various languages, and update them regularly as new code is added.”
- Learning to rank code examples for code search engines (2017, background): “Such practice is referred to as Internet-scale code search [19] or simply code search [12].”