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All Journal IAES International Journal of Artificial Intelligence (IJ-AI)
Iqbaldeep Kaur
Chandigarh University
Computer Science & IT Engineering

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Refined Clustering of Software Components by Using K-Mean and Neural Network Indu Verma; Amarjeet Kaur; Iqbaldeep Kaur
IAES International Journal of Artificial Intelligence (IJ-AI) Vol 4, No 2: June 2015
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (651.011 KB) | DOI: 10.11591/ijai.v4.i2.pp62-71

Abstract

Data Mining is extraction of relevant information about data set. A data-warehouse is a location where information is stored. There are various services of data mining, clustering is one of them. Clustering is an effort to group similar data onto single cluster. In this paper we propose and implement k-mean and neural network for clustering same components in single cluster. Clustering reduces the search space by grouping similar test cases together according to the requirements and, hence minimizing the search time, for the retrieval of the test cases, resulting in reduced time complexity. In this research paper we proposed approach for re-usability of test cases by unsupervised approach and supervised approach. In unsupervised learning we proposed k-mean and in supervised learning neural network. We have designed the algorithm for requirement and test case document clustering according to its tf-idf vector space and the output is set of highly cohesive pattern groups.
Co-Authors Amarjeet Kaur Indu Verma