Supporting program comprehension with source code summarization

Authors:
Sonia Haiduc;Jairo Aponte;Andrian Marcus
Affiliations:
Wayne State University, Detroit, MI;Universidad Nacional de Colombia, Bogotá, Colombia;Wayne State University, Detroit, MI
Venue:
Proceedings of the 32nd ACM/IEEE International Conference on Software Engineering - Volume 2
Year:
2010

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Abstract

One of the main challenges faced by today's developers is keeping up with the staggering amount of source code that needs to be read and understood. In order to help developers with this problem and reduce the costs associated with it, one solution is to use simple textual descriptions of source code entities that developers can grasp easily, while capturing the code semantics precisely. We propose an approach to automatically determine such descriptions, based on automated text summarization technology.