Please use this identifier to cite or link to this item: http://hdl.handle.net/1893/23520
Appears in Collections:Computing Science and Mathematics Conference Papers and Proceedings
Peer Review Status: Refereed
Authors: Naseem, Rashid
Deris, Mustafa Bin Mat
Maqbool, Onaiza
Li, Jingpeng
Shahzad, Sarah
Shah, Habib
Contact Email: jli@cs.stir.ac.uk
Title: Improved Binary Similarity Measures for Software Modularization (Forthcoming)
Citation: Naseem R, Deris MBM, Maqbool O, Li J, Shahzad S & Shah H Improved Binary Similarity Measures for Software Modularization (Forthcoming), Frontiers of Information Technology and Electronic Engineering.
Issue Date: 2016
Abstract: Various binary similarity measures have been employed in clustering approaches to make homogeneous groups of similar entities in the data. These similarity measures are mostly based only on the presence and absence of features. Binary similarity measures have also been explored with different clustering approaches (e.g., agglomerative hierarchical clustering) for software modularization to make the software systems understandable and manageable. Each similarity measure has its own strengths and weaknesses that result in improving and deteriorating the clustering results, respectively. This paper highlights the strengths of some well-known existing binary similarity measures for software modularization. Furthermore, based on these existing similarity measures, this paper introduces the improved new binary similarity measures. Proofs of the correctness with illustration and a series of experiments are presented to evaluate the effectiveness of our new binary similarity measures.
Type: Journal Article
Status: Post-print (author final draft post-refereeing)
Rights: This item has been embargoed for a period. During the embargo please use the Request a Copy feature at the foot of the Repository record to request a copy directly from the author. You can only request a copy if you wish to use this work for your own research or private study. Publisher policy allows this work to be made available in this repository; The final publication is available at Springer via http://dx.doi.org/10.1631/FITEE.1500373
URI: http://hdl.handle.net/1893/23520
URL: http://www.cs.stir.ac.uk/~jli/papers/FITEE2016.pdf
Affiliation: Tun Hussein Onn University of Malaysia
Tun Hussein Onn University of Malaysia
Quaid-i-Azam University
Computing Science - CSM Dept
University of Peshawar
Islamic University Madinah

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