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Querying source code with natural language

descriptionPublicationkeyboard_double_arrow_right Article , Preprint , Conference object , Other literature type 01 Nov 2011Embargo end date: 01 Jan 2012 France Publisher:IEEEJournal:2011 26th IEEE/ACM International Conference on Automated Software Engineering (ASE 2011)
Authors: Kimmig, Markus; Monperrus, Martin; Mezini, Mira;

doi: 10.1109/ase.2011.6100076 , 10.48550/arxiv.1205.6361

arXiv: 1205.6361

Querying source code with natural language

Abstract

One common task of developing or maintaining software is searching the source code for information like specific method calls or write accesses to certain fields. This kind of information is required to correctly implement new features and to solve bugs. This paper presents an approach for querying source code with natural language.

Country
France
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Keywords

Software Engineering (cs.SE), FOS: Computer and information sciences, Computer Science - Software Engineering, [INFO.INFO-SE] Computer Science [cs]/Software Engineering [cs.SE]

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    		 18
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    		 Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    		 Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    		 Top 10%
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
18
Average
Top 10%
Top 10%
Green
Related to Research communities
Hessian Open Science Portal
INRIA
University Network for Innovation, Technology and Engineering