A Human Study of Comprehension and Code Summarization | |
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Author | |
Abstract |
Software developers spend a great deal of time reading and understanding code that is poorly-documented, written by other developers, or developed using differing styles. During the past decade, researchers have investigated techniques for automatically documenting code to improve comprehensibility. In particular, recent advances in deep learning have led to sophisticated summary generation techniques that convert functions or methods to simple English strings that succinctly describe that code s behavior.
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Year of Publication |
2020
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Conference Name |
28th International Conference on Program Comprehension
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Date Published |
07/2020
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Publisher |
Association for Computing Machinery
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Conference Location |
New York, NY, USA
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ISBN Number |
9781450379588
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URL |
https://doi.org/10.1145/3387904.3389258
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DOI |
10.1145/3387904.3389258
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