Toward efficient aspect mining for linux

Danfeng Zhang, Yao Guo, Yue Wang, Xiangqun Chen

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations


Code implementing a crosscutting concern spreads over many parts of the Linux code. Identifying these code automatically can benefit both the maintainability and evolvability of Linux. In this paper, we present a case study on how to identify aspects in the Linux code. First, we analyze four typical crosscutting concerns in Linux and show how to apply existing mining approaches to identify these concerns. We then propose three new mining approaches and compare their performance with the original methods. Experiments show that the proposed mining approaches can And these concerns more efficiently in Linux.

Original languageEnglish (US)
Title of host publicationProceedings - 14th Asia-Pacific Software Engineering Conference, APSEC 2007
Number of pages8
StatePublished - 2007
Event14th Asia Pacific Software Engineering Conference, ASPCE 2007 - Nagoya, Japan
Duration: Dec 4 2007Dec 7 2007

Publication series

NameProceedings - Asia-Pacific Software Engineering Conference, APSEC
ISSN (Print)1530-1362


Other14th Asia Pacific Software Engineering Conference, ASPCE 2007

All Science Journal Classification (ASJC) codes

  • General Engineering


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