为软件维护挖掘特定于应用程序的编码模式

LATE@AOSD Pub Date : 2008-03-31 DOI:10.1145/1404953.1404956
T. Ishio, H. Date, Tatsuya Miyake, Katsuro Inoue
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引用次数: 0

摘要

横切关注点通常基于编码模式或特定的方法调用和控制语句序列来实现。我们已经应用了顺序模式挖掘算法来捕获Java程序中的编码模式。我们已经手工研究了包含横切关注点和实现习惯用法的最终模式。本文详细讨论了我们的模式挖掘算法,并报告了检测到的横切关注点。
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Mining application-specific coding patterns for software maintenance
A crosscutting concern is often implemented based on a coding pattern, or a particular sequence of method calls and control statements. We have applied a sequential pattern mining algorithm to capture coding patterns in Java programs. We have manually investigated the resultant patterns that involve both crosscutting concerns and implementation idioms. This paper discusses the detail of our pattern mining algorithm and reports detected crosscutting concerns.
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Disciplined composition of aspects using tests Extracting updating aspects from version differences Regression test selection when evolving software with aspects Aspect mining in the presence of the C preprocessor Sort-based refactoring of crosscutting concerns to aspects
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