A Partitional Clustering Algorithm for Crosscutting Concerns Identification

被引：0
|
作者：
Czibula, Gabriela [1 ]
Cojocar, Grigoreta Sofia [1 ]
Czibula, Istvan Gergely [1 ]
机构：
[1] Univ Babes Bolyai, Dept Comp Sci, R-3400 Cluj Napoca, Romania
来源：
SEPADS'09: PROCEEDINGS OF THE 8TH WSEAS INTERNATIONAL CONFERENCE ON RECENT ADVANCES IN SOFTWARE ENGINEERING, PARALLEL AND DISTRIBUTED SYSTEMS | 2009年
关键词：
Aspect mining; crosscutting concerns; clustering;
D O I：
暂无
中图分类号：
TP31 [计算机软件];
学科分类号：
081202 ; 0835 ;
摘要：
Identifying crosscutting concerns is an important issue in the maintenance of software systems. It aims at refactoring the existing systems to use aspect oriented programming, in order to make them easier to maintain and to evolve. In this paper we present a new partitional clustering algorithm for identifying crosscutting concerns in existing software systems. We experimentally evaluate our algorithm using the open source case study JHotDraw, providing a comparison of the proposed approach with similar existing approaches.
引用
收藏
页码：111 / 116
页数：6
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