A HIERARCHICAL CLUSTERING BASED APPROACH IN ASPECT MINING

被引：0

作者：

Czibula, Gabriela ^{[1
]}

Cojocar, Grigoreta Sofia ^{[1
]}

机构：

[1] Univ Babes Bolyai, Dept Comp Sci, Cluj Napoca 400084, Romania

来源：

COMPUTING AND INFORMATICS | 2010年 / 29卷 / 06期

关键词：

Hierarchical clustering; aspect mining; crosscutting concern; quality measure; evaluation;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Clustering is a division of data into groups of similar objects. Aspect mining is a process that tries to identify crosscutting concerns in existing software systems. The goal is to refactor the existing systems to use aspect oriented programming, in order to make them easier to maintain and to evolve. The aim of this paper is to present a new hierarchical clustering based approach in aspect mining. For this purpose we propose HAC algorithm (Hierarchical Agglomerative Clustering in aspect mining). Clustering is used in order to identify crosscutting concerns. We evaluate the obtained results from the aspect mining point of view, based on two quality measures that we have previously introduced and a newly defined one. The proposed approach is compared with other similar existing approaches in aspect mining and two case studies are also reported.

引用

页码：881 / 900

页数：20

共 50 条

[1] On Clustering based Aspect Mining
Cojocar, Grigoreta Sofia
Czibula, Gabriela
2008 IEEE 4TH INTERNATIONAL CONFERENCE ON INTELLIGENT COMPUTER COMMUNICATION AND PROCESSING, PROCEEDINGS, 2008, : 129 - 136
[2] Clustering based aspect mining formalized
Moldovan, Grigoreta Sofia
Şerban, Gabriela
WSEAS Transactions on Computers, 2007, 6 (02): : 199 - 206
[3] Aspect Mining Using Model-Based Clustering
McFadden, Renata Rand
Mitropoulos, Frank J.
2012 PROCEEDINGS OF IEEE SOUTHEASTCON, 2012,
[4] Mining VIP based on an improved hierarchical clustering method
Nie, Bin
Du, Jianqiang
Liu, Hongnin
Xu, Guoliang
Wang, Zhuo
Zhu, Mingfeng
Zhang, Qiyun
2009 SECOND INTERNATIONAL SYMPOSIUM ON KNOWLEDGE ACQUISITION AND MODELING: KAM 2009, VOL 3, 2009, : 323 - +
[5] Hierarchical Enhancement Framework for Aspect-based Argument Mining
Fu, Yujie
Li, Yang
Wang, Suge
Li, Xiaoli
Li, Deyu
Liao, Jian
Zheng, JianXing
FINDINGS OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS - EMNLP 2023, 2023, : 1423 - 1433
[6] A Syntactic Approach for Aspect Based Opinion Mining
Chinsha, T. C.
Joseph, Shibily
2015 IEEE 9TH INTERNATIONAL CONFERENCE ON SEMANTIC COMPUTING (ICSC), 2015, : 24 - 31
[7] Hierarchical clustering for data mining
Szymkowiak, A
Larsen, J
Hansen, LK
KNOWLEDGE-BASED INTELLIGENT INFORMATION ENGINEERING SYSTEMS & ALLIED TECHNOLOGIES, PTS 1 AND 2, 2001, 69 : 261 - 265
[8] Partition Selection Approach for Hierarchical Clustering Based on Clustering Ensemble
Vega-Pons, Sandro
Ruiz-Shulcloper, Jose
PROGRESS IN PATTERN RECOGNITION, IMAGE ANALYSIS, COMPUTER VISION, AND APPLICATIONS, 2010, 6419 : 525 - 532
[9] Evolving the taxonomy based on hierarchical clustering approach
Irfan, Rabia
Khan, Sharifullah
PROCEEDINGS OF 14TH INTERNATIONAL CONFERENCE ON FRONTIERS OF INFORMATION TECHNOLOGY PROCEEDINGS - FIT 2016, 2016, : 81 - 86
[10] A new k-means based clustering algorithm in aspect mining
Serban, Gabriela
Moldovan, Grigoreta Sofia
SYNASC 2006: EIGHTH INTERNATIONAL SYMPOSIUM ON SYMBOLIC AND NUMERIC ALGORITHMS FOR SCIENTIFIC COMPUTING, PROCEEDINGS, 2007, : 69 - +

← 1 2 3 4 5 →