Foundations of statistical natural language processing
Foundations of statistical natural language processing
Nomen Est Omen: Analyzing the Language of Function Identifiers
WCRE '99 Proceedings of the Sixth Working Conference on Reverse Engineering
OOPSLA '05 Proceedings of the 20th annual ACM SIGPLAN conference on Object-oriented programming, systems, languages, and applications
Subtext: uncovering the simplicity of programming
OOPSLA '05 Proceedings of the 20th annual ACM SIGPLAN conference on Object-oriented programming, systems, languages, and applications
Towards supporting on-demand virtual remodularization using program graphs
Proceedings of the 5th international conference on Aspect-oriented software development
What's in a Name? A Study of Identifiers
ICPC '06 Proceedings of the 14th IEEE International Conference on Program Comprehension
Elements of Information Theory (Wiley Series in Telecommunications and Signal Processing)
Elements of Information Theory (Wiley Series in Telecommunications and Signal Processing)
Understanding the shape of Java software
Proceedings of the 21st annual ACM SIGPLAN conference on Object-oriented programming systems, languages, and applications
An empirical study of Java bytecode programs
Software—Practice & Experience
Introducing natural language program analysis
PASTE '07 Proceedings of the 7th ACM SIGPLAN-SIGSOFT workshop on Program analysis for software tools and engineering
The Programmer's Lexicon, Volume I: The Verbs
SCAM '07 Proceedings of the Seventh IEEE International Working Conference on Source Code Analysis and Manipulation
Indexing the Java API Using Source Code
ASWEC '08 Proceedings of the 19th Australian Conference on Software Engineering
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Method names in Java are natural language phrases describing behaviour, encoded to make them easy for machines to parse. Programmers rely on the meaning encoded in method names to understand code. We know little about the language used in this encoding, its rules and structure, leaving the programmer without guidance in expressing her intent. Yet the meaning of the method names -- or phrases -- is readily available in the body of the methods they name. By correlating names and implementations, we can figure out the meaning of the original phrases, and uncover the rules of the phrase language as well. In this paper, we present an automatically generated proof-of-concept phrase book for Java, based on a large software corpus. The phrase book captures both the grammatical structure and the meaning of method phrases as commonly used by Java programmers.