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An effective incremental analysis algorithm of open source repository

  • Zhanyu Yang
  • , Fu Xu
  • , Zhibo Chen
  • , Yu Sun
  • Beijing Forestry University

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

Mining code repositories is a significant practice to detect the reuse of open source code in software engineering. As the existing analysis algorithms fail to meet the requirements of efficient large-scale open source analysis, this paper proposes an effective incremental analysis algorithm that can extract incremental text modifications by comparing snapshots in code repositories and then transform the above-mentioned text modifications into incremental functions through the application of mapping algorithm. Meanwhile, a fingerprint algorithm targeting incremental functions is put forward for efficient comparisons of functions. The experiments indicate that when dealing with large-scale code, the incremental analysis algorithm outperforms the traditional ones with less storage space and faster analysis speed.

源语言英语
主期刊名2018 International Conference on Internet and e-Business, ICIEB 2018
出版商Association for Computing Machinery
178-182
页数5
ISBN(电子版)9781450363754
DOI
出版状态已出版 - 25 4月 2018
已对外发布
活动2018 International Conference on Internet and e-Business, ICIEB 2018 - Singapore, 新加坡
期限: 25 4月 201827 4月 2018

出版系列

姓名ACM International Conference Proceeding Series

会议

会议2018 International Conference on Internet and e-Business, ICIEB 2018
国家/地区新加坡
Singapore
时期25/04/1827/04/18

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