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26th Annual International Computer Software and Applications Conference
Evaluating Software Maintenance Cost Using Functional Redundancy Metrics
Oxford, England
August 26-August 29
ISBN: 0-7695-1727-7
ASCII Text
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Takeo Imai, Yoshio Kataoka, Tetsuji Fukaya, "Evaluating Software Maintenance Cost Using Functional Redundancy Metrics," Computer Software and Applications Conference, Annual International, pp. 299, 26th Annual International Computer Software and Applications Conference, 2002.
 
 
BibTex
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@article{ 10.1109/CMPSAC.2002.1045018,
author = {Takeo Imai and Yoshio Kataoka and Tetsuji Fukaya},
title = {Evaluating Software Maintenance Cost Using Functional Redundancy Metrics},
journal ={Computer Software and Applications Conference, Annual International},
volume = {0},
year = {2002},
issn = {0730-3157},
pages = {299},
doi = {http://doi.ieeecomputersociety.org/10.1109/CMPSAC.2002.1045018},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Computer Software and Applications Conference, Annual International
TI - Evaluating Software Maintenance Cost Using Functional Redundancy Metrics
SN - 0730-3157
SP
EP
A1 - Takeo Imai,
A1 - Yoshio Kataoka,
A1 - Tetsuji Fukaya,
PY - 2002
KW - null
VL - 0
JA - Computer Software and Applications Conference, Annual International
ER -
 
Takeo Imai, Toshiba Corporation
Yoshio Kataoka, Toshiba Corporation
Tetsuji Fukaya, Toshiba Corporation

Source code copying for reuse (code cloning) is often observed in software implementations. Such code cloning causes difficulty when software functionalities are modified: i.e, cloned codes increase the maintenance cost of software. We aim to estimate the maintenance cost caused by clones. We propose a novel approach, which evaluates influence of cloned codes over the maintenance cost. The basic idea is to measure Functional Redundancy(FR): A degree of propagation of clone-potential functions. FR is measured as follows: First, we cluster functions in the software according to similarities between them. Second, we make n-ary weighted tree (FR tree) based on the cluster. Finally, we measure FR by weight of each node in FR-tree.

In this paper, we describe the details of our proposal. We also apply the approach to 17K-ELOC C code to demonstrate its effectiveness.

Citation:
Takeo Imai, Yoshio Kataoka, Tetsuji Fukaya, "Evaluating Software Maintenance Cost Using Functional Redundancy Metrics," compsac, pp.299, 26th Annual International Computer Software and Applications Conference, 2002
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