A new method for classifying and searching software components by using a self-organizing neural network architecture

被引：0
|
作者：
Mello, Claudia A. S. [1 ]
de Mello, Rodrigo F. [2 ]
Santos, Marilde T. P. [1 ]
Senger, Luciano J. [3 ]
Yang, Laurence T. [4 ]
机构：
[1] Univ Fed Sao Carlos, Dept Computacao, Rod Washington Luis Km 235, BR-13560970 Sao Carlos, SP, Brazil
[2] Univ Sao Paulo, Inst Ciencia Matemat, BR-1356070 Sao Carlos, SP, Brazil
[3] Univ Estadual Ponta Grossa, Dept Informat, Ponta Grossa, PR, Brazil
[4] Xavier Univ, Antigonish, NS, Canada
来源：
2006 IEEE INTERNATIONAL CONFERENCE ON GRANULAR COMPUTING | 2006年
关键词：
software component repositories; search strategy; neural networks;
D O I：
10.1109/GRC.2006.1635772
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
The method presented in this paper aims to simplify the construction of software component repositories. The repository makes possible the reuse of components, reducing the software implementation costs. The proposed method extracts informations from component documentation, or either, terms which compound the metadata to represent components. The components are automatically grouped, using the terms, in the repository by means of the ART-2A self-organizing artificial neural network architecture. The vectorial search strategy is used to retrieve software components which are grouped by the neural network. Experiments showed that this strategy improved the ordinary vectorial search by an average of 9.55% in precision, maintaining a similar quality in recall. This method also presented an relevant increase in the search performance.
引用
收藏
页码：136 / +
页数：2
相关论文
共 50 条
  • [31] Control chart pattern recognition using a new type of self-organizing neural network
    Univ of Wales Cardiff, Cardiff, United Kingdom
    Proc Inst Mech Eng Part I J Syst Control Eng, 2 (115-127):
  • [32] Control chart pattern recognition using a new type of self-organizing neural network
    Pham, DT
    Chan, AB
    PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART I-JOURNAL OF SYSTEMS AND CONTROL ENGINEERING, 1998, 212 (I2) : 115 - 127
  • [33] A self-organizing neural network for neuromuscular control
    Praveen Shankar
    Sharmila Venugopal
    BMC Neuroscience, 16 (Suppl 1)
  • [34] Self-organizing and self-evolving neurons: A new neural network for optimization
    Wu, Sitao
    Chow, Tommy W. S.
    IEEE TRANSACTIONS ON NEURAL NETWORKS, 2007, 18 (02): : 385 - 396
  • [35] EVD clutter suppression method based on the self-organizing neural network
    Shi, Jiaqi
    Yang, Minglei
    Lian, Hao
    Ye, Zhou
    Xu, Guanghui
    Xi'an Dianzi Keji Daxue Xuebao/Journal of Xidian University, 2024, 51 (05): : 46 - 57
  • [36] A nearest-neighbor method with self-organizing incremental neural network
    Furao, Shen
    Hasegawa, Osamu
    2007 IEEE INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS, VOLS 1-6, 2007, : 1145 - 1150
  • [37] Advanced self-organizing polynomial neural network
    Dongwon Kim
    Gwi-Tae Park
    Neural Computing and Applications, 2007, 16 : 443 - 452
  • [38] A Self-Organizing Neural Network for Detecting Novelties
    Albertini, Marcelo Keese
    de Mello, Rodrigo Fernandes
    APPLIED COMPUTING 2007, VOL 1 AND 2, 2007, : 462 - 466
  • [39] Modeling of chaos by a self-organizing neural network
    Grabec, I.
    Proceedings of the International Conference on Artificial Neural Networks, 1991,
  • [40] A self-organizing neural fuzzy inference network
    Castellano, G
    Fanelli, AM
    IJCNN 2000: PROCEEDINGS OF THE IEEE-INNS-ENNS INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS, VOL V, 2000, : 14 - 19
12345