Querying source code with natural language

Authors:
Markus Kimmig;Martin Monperrus;Mira Mezini
Affiliations:
Technische Universität Darmstadt, Germany;University of Lille, Germany;Technische Universität Darmstadt, Germany
Venue:
ASE '11 Proceedings of the 2011 26th IEEE/ACM International Conference on Automated Software Engineering
Year:
2011

Citing 9
Cited 2

Navigating and querying code without getting lost

Proceedings of the 2nd international conference on Aspect-oriented software development
Pattern Recognition and Machine Learning (Information Science and Statistics)

Pattern Recognition and Machine Learning (Information Science and Statistics)
Questions programmers ask during software evolution tasks

Proceedings of the 14th ACM SIGSOFT international symposium on Foundations of software engineering
Answering conceptual queries with Ferret

Proceedings of the 30th international conference on Software engineering
Debugging reinvented: asking and answering why and why not questions about program behavior

Proceedings of the 30th international conference on Software engineering
An approach to detecting duplicate bug reports using natural language and execution information

Proceedings of the 30th international conference on Software engineering
Automatically capturing source code context of NL-queries for software maintenance and reuse

ICSE '09 Proceedings of the 31st International Conference on Software Engineering
Supporting developers with natural language queries

Proceedings of the 32nd ACM/IEEE International Conference on Software Engineering - Volume 1
CodeQuest: scalable source code queries with datalog

ECOOP'06 Proceedings of the 20th European conference on Object-Oriented Programming

Declarative visitors to ease fine-grained source code mining with full history on billions of AST nodes

Proceedings of the 12th international conference on Generative programming: concepts & experiences
Evaluating a query framework for software evolution data

ACM Transactions on Software Engineering and Methodology (TOSEM) - Testing, debugging, and error handling, formal methods, lifecycle concerns, evolution and maintenance

Quantified Score

Hi-index	0.00

Visualization

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.