A Measurement of Similarity to Identify Identical

N. A.

doi:10.34028/iajit

Article Details

A Measurement of Similarity to Identify Identical

Authors:

N. A.

Publisher:

Zarqa University, Jordan

Journal:

The International Arab Journal of Information Technology (IAJIT) Vol.12 Issue 6, pp.9-14

Document Type:

Article

Publication Date:

1/2015

Document Language:

English

Document ID (Org No.):

2001388945

pISSN:

2309-4524

DOI:

10.34028/iajit

Abstract:

 Code clones are described as a part of the program which is completely or partially similar to the other portions. In 
the earlier research the code clones have been dete cted using fingerprinting technique. The major chal lenge in our work was 
to group the code clones based on similarity measur e. The proposed system measures the similarity based on similarity 
distance. The defined expression considers two para meters for calculating the similarity measure namely the similarity 
distance and the population of the clone. Thereby t he code clones are clustered and ranked on the basi s of their similarity 
measures. Indexing is used to interactively identif y the clones which are caused due to inconsistent c hanges. As a result of this 
work all the identical clusters for most similar an d more similar categories are identified.

Article Details

A Measurement of Similarity to Identify Identical

Authors: N. A.

Publisher: Zarqa University, Jordan

Journal: The International Arab Journal of Information Technology (IAJIT) Vol.12 Issue 6, pp.9-14

Document Type: Article

Publication Date: 1/2015

Document Language: English

Document ID (Org No.): 2001388945

pISSN: 2309-4524

DOI: 10.34028/iajit

Issues

Authors:

N. A.

Publisher:

Zarqa University, Jordan

Journal:

The International Arab Journal of Information Technology (IAJIT) Vol.12 Issue 6, pp.9-14

Document Type:

Article

Publication Date:

1/2015

Document Language:

English

Document ID (Org No.):

2001388945

pISSN:

2309-4524

DOI:

10.34028/iajit