Using pagerank algorithm to improve coupling metrics

Cheolhyun Park; Junhee Kim; Eunseok Lee

Using pagerank algorithm to improve coupling metrics

Cheolhyun Park
, Junhee Kim
, Eunseok Lee

Sungkyunkwan University

Research output: Contribution to conference › Paper › peer-review

Abstract

Existing coupling metrics only use the number of methods invocations, and does not consider the weight of the methods. Thus, they cannot measure coupling metrics accurately. In this paper, we measure the weight of methods using PageRank algorithm, and propose a new approach to improve coupling metrics using the weight. We validate the proposed approach by applying them to several open source projects. And we measure several coupling metrics using existing approach and proposed approach. As a result, the correlation between change-proneness and improved coupling metrics were significantly higher than existing coupling metrics. Hence, our improved coupling metrics can more accurately measure software.

Original language	English
Pages	75-78
Number of pages	4
State	Published - 2011
Externally published	Yes
Event	2011 Computation and Communication Technologies: 3rd International Conference on Advances in Computing, Control, and Telecommunication Technologies, ACT 2011 - Jakarta, Indonesia Duration: 14 Dec 2011 → 14 Dec 2011

Conference

Conference	2011 Computation and Communication Technologies: 3rd International Conference on Advances in Computing, Control, and Telecommunication Technologies, ACT 2011
Country/Territory	Indonesia
City	Jakarta
Period	14/12/11 → 14/12/11

Keywords

Coupling metrics
PageRank algorithm
Software quality metrics

Cite this

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title = "Using pagerank algorithm to improve coupling metrics",

abstract = "Existing coupling metrics only use the number of methods invocations, and does not consider the weight of the methods. Thus, they cannot measure coupling metrics accurately. In this paper, we measure the weight of methods using PageRank algorithm, and propose a new approach to improve coupling metrics using the weight. We validate the proposed approach by applying them to several open source projects. And we measure several coupling metrics using existing approach and proposed approach. As a result, the correlation between change-proneness and improved coupling metrics were significantly higher than existing coupling metrics. Hence, our improved coupling metrics can more accurately measure software.",

keywords = "Coupling metrics, PageRank algorithm, Software quality metrics",

author = "Cheolhyun Park and Junhee Kim and Eunseok Lee",

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pages = "75--78",

note = "2011 Computation and Communication Technologies: 3rd International Conference on Advances in Computing, Control, and Telecommunication Technologies, ACT 2011 ; Conference date: 14-12-2011 Through 14-12-2011",

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Using pagerank algorithm to improve coupling metrics. / Park, Cheolhyun; Kim, Junhee; Lee, Eunseok.
2011. 75-78 Paper presented at 2011 Computation and Communication Technologies: 3rd International Conference on Advances in Computing, Control, and Telecommunication Technologies, ACT 2011, Jakarta, Indonesia.

Research output: Contribution to conference › Paper › peer-review

TY - CONF

T1 - Using pagerank algorithm to improve coupling metrics

AU - Park, Cheolhyun

AU - Kim, Junhee

AU - Lee, Eunseok

PY - 2011

Y1 - 2011

N2 - Existing coupling metrics only use the number of methods invocations, and does not consider the weight of the methods. Thus, they cannot measure coupling metrics accurately. In this paper, we measure the weight of methods using PageRank algorithm, and propose a new approach to improve coupling metrics using the weight. We validate the proposed approach by applying them to several open source projects. And we measure several coupling metrics using existing approach and proposed approach. As a result, the correlation between change-proneness and improved coupling metrics were significantly higher than existing coupling metrics. Hence, our improved coupling metrics can more accurately measure software.

AB - Existing coupling metrics only use the number of methods invocations, and does not consider the weight of the methods. Thus, they cannot measure coupling metrics accurately. In this paper, we measure the weight of methods using PageRank algorithm, and propose a new approach to improve coupling metrics using the weight. We validate the proposed approach by applying them to several open source projects. And we measure several coupling metrics using existing approach and proposed approach. As a result, the correlation between change-proneness and improved coupling metrics were significantly higher than existing coupling metrics. Hence, our improved coupling metrics can more accurately measure software.

KW - Coupling metrics

KW - PageRank algorithm

KW - Software quality metrics

UR - https://www.scopus.com/pages/publications/84899541556

M3 - Paper

AN - SCOPUS:84899541556

SP - 75

EP - 78

T2 - 2011 Computation and Communication Technologies: 3rd International Conference on Advances in Computing, Control, and Telecommunication Technologies, ACT 2011

Y2 - 14 December 2011 through 14 December 2011

ER -

Using pagerank algorithm to improve coupling metrics

Abstract

Conference

Keywords

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