Code fragment summarization | Zendy

Annie T. T. Ying | Zendy; Martin P. Robillard | Zendy

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Code fragment summarization

Author(s) -

Annie T. T. Ying,

Martin P. Robillard

Publication year - 2013

Publication title -

escholarship@mcgill (mcgill)

Language(s) - English

Resource type - Conference proceedings

DOI - 10.1145/2491411.2494587

Subject(s) - computer science , automatic summarization , code (set theory) , fragment (logic) , oracle , code review , programming language , source code , information retrieval , software , presentation (obstetrics) , data mining , static program analysis , software development , set (abstract data type) , medicine , radiology

Current research in software engineering has mostly focused on the retrieval accuracy aspect but little on the presentation aspect of code examples, e.g., how code examples are presented in a result page. We investigate the feasibility of summarizing code examples for better presenting a code example. Our algorithm based on machine learning could approximate summaries in an oracle manually generated by humans with a precision of 0.71. This result is promising as summaries with this level of precision achieved the same level of agreement as human annotators with each other.

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