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research-article

Dynamic coupling metrics for object oriented software systems: a survey

Authors:

Paramvir SinghAuthors Info & Claims

ACM SIGSOFT Software Engineering Notes, Volume 39, Issue 2

Pages 1 - 8

https://doi.org/10.1145/2579281.2579296

Published: 29 March 2014 Publication History

Abstract

Coupling measures are considered important due to their inherent relationships with external software quality attributes. The ongoing research on object oriented software quality has been focusing on devising dynamic metrics for software quality assessment because of their ability to capture the runtime behavior of software. A number of dynamic coupling metrics have been proposed in recent times to measure software quality. This paper is an attempt to fill in the gap between existing work and researchers by providing them essential knowledge about the dynamic coupling metrics, methodologies and techniques proposed in this area. This paper presents a survey of existing research related to dynamic coupling metrics for object oriented software systems. Metrics have been categorized according to some of their major characteristics such as dynamic analysis techniques, validation of metrics, relation with static metrics etc. The capability of these metrics in quantifying external software quality attributes is also studied. The survey found that very few dynamic coupling metrics have been proposed and most of the proposed metrics lack empirical validation limiting their applicability in software quality assessment.

References

[1]

W.P. Stevens, G.J. Myers and L.L. Constantine, Structured design, IBM Systems Journal, 13(2), 1974.

Digital Library

[2]

S.M. Yacoub, H.H. Ammar and T. Robinson, Dynamic metrics for object oriented designs, in Software Metrics Symposium (pp 50--61), Boca Raton, Florida, USA, 1999.

Digital Library

[3]

A. Mitchell, J.F. Power, Runtime Coupling Metrics for the Analysis of Java Programs -- preliminary results from SPEC and Grand suites, Technical Report NUIMCS- TR2003-07, Department of Computer Science, National University of Ireland, Maynooth Co. Kildare, Ireland, 2003.

[4]

A. Mitchell, J.F. Power, An empirical investigation into the dimensions of run-time coupling in java programs, in Third Conference on the Principles and Practice of Programming in Java (pp. 9--14), Las Vegas, Nevada, USA, 2004.

Digital Library

[5]

Y. Hassoun, R. Johnson, S. Counsell, A Dynamic Runtime Coupling Metric for Meta Level Architectures, in Proceedings of Eighth Euromicro Working Conference on Software Maintenance and Reengineering (CSMR '04), pp. 339, 2004.

Digital Library

[6]

A. Zaidman, S. Demeyer, Analyzing large event traces with the help of coupling metrics, in Proceedings of the Fourth International Workshop on OO Reengineering, University Antwerpen, 2004.

[7]

E. Arisholm, L.C. Briand, A. Foyen, Dynamic coupling measures for object oriented software, in IEEE Transactions on Software Engineering, 30(8):491--506, 2004.

Digital Library

[8]

A. Beszedes, T. Gergely, S. Farago et al., Dynamic Function Coupling Metric and Its Use in Software Evolution, in Proceedings of the Eleventh European Conference on Software Maintenance and Reengineering (CSMR) (pp. 103--112), IEEE Computer Society, Washington DC, 2007.

Digital Library

[9]

P. Singh, H. Singh, Class-level Dynamic Coupling Metrics for Static and Dynamic Analysis of Object-Oriented Systems, International Journal of Information and Telecommunication Technology, 1(1): 16--28, 2010.

[10]

V. Gupta, Validation of Dynamic Coupling Metrics for Object-Oriented Software, ACM SIGSOFT Software Engineering Notes, 36(5), 2011.

Digital Library

[11]

V. Gupta, J.K. Chhabra, Measurement of Dynamic Metrics using Dynamic Analysis of Programs, in Proceedings of WSEAS Conference on Applied Computing Conference (ACC 2008) (pp. 81--86), Istanbul, Turkey, 2008.

Digital Library

[12]

AspectJ: http://www.eclipse.org/aspectj/. Online. Accessed May 2013.

[13]

Y. Hassoun, R. Johnson, S. Counsell, Empirical validation of a dynamic coupling metric, Technical Report, BBKCS-04-03, School of Computer Science and Information Systems, Birkbeck College, University of London, UK, 2004.

[14]

A. Meneely, B. Smith, L. Williams, Validating software metrics: A spectrum of philosophies. ACM Transactions on Software Engineering and Methodology, 21(4), 2012.

Digital Library

[15]

K. El. Emam, A methodology for validating software product metrics, Technical Report NRC/ERB-1076, National Research Council of Canada, 2000.

[16]

B. Kitchenham, S.L. Pfleeger, N.E. Fenton, Towards a Framework for Software Measurement Validation, in IEEE Transactions on Software Engineering, 21(12): 929--944, 1995.

Digital Library

[17]

E.J. Weyuker, Evaluating software complexity measures, in IEEE Transactions on Software Engineering, 14(9):1357--1365, 1988.

Digital Library

[18]

N.E. Fenton, S.L. Pfleeger, Software Metrics: A Rigorous & Practical Approach, Second Edition, International Thomson Computer Press, London, 1997.

Digital Library

[19]

L.C. Briand, J.W. Daly, J.K. Wust JK, A unified framework for coupling measurement in object-oriented systems, in IEEE Transactions on Software Engineering, 25(1):91--121, 1999.

Digital Library

[20]

Apache Jakarta Project: http://jakarta.apache.org/. Online. Accessed Jan 2013.

[21]

A. Mitchell, J.F. Power, Toward a definition of run-time object-oriented metrics, in Seventh ECOOP Workshop on Quantitative Approaches in Object-Oriented Software Engineering, Darmstadt, Germany, 2003.

[22]

A. Mitchell, J.F. Power, Using object-level run-time metrics to study coupling between objects, in ACM Symposium on Applied Computing (pp. 1456--1463). Santa Fe, New Mexico, USA, 2005.

Digital Library

[23]

A. Mitchell, J.F. Power, A study of the influence of coverage on the relationship between static and dynamic coupling metrics, in Science of Computer Programming (pp. 4--25), 2006.

Digital Library

[24]

Y. Hassoun, R. Johnson, S. Counsell, Dynamic coupling metric: proof of concept, in IEE Proceedings -Software, 152: 273--279, 2005.

[25]

S.R. Chidamber, C.F. Kemerer, A Metrics Suite for Object-Oriented Design, in IEEE Transactions Software Engg., 20: 476--493, 1994.

Digital Library

[26]

R. Martin, OO Design Quality Metrics - An Analysis of Dependencies, in Workshop Pragmatic and Theoretical Directions in Object-Oriented Software Metrics, OOPSLA'94, 1994.

[27]

M. El Wakil, A. El Bastawissi, M. Boshra, A. Fahmy, Object-Oriented Design-Metrics - A taxonomy. In Third International Conference on Computer Science, Software Engineering, Information Technology, e-Business, and Applications (CSITeA'04), 2004.

Cited By

Navas-Su JGonzalez-Torres A(2022)An approach for the forecasting of the maintainability of system functionalitiesProceedings of the 2022 European Symposium on Software Engineering10.1145/3571697.3571702(33-42)Online publication date: 27-Oct-2022
https://dl.acm.org/doi/10.1145/3571697.3571702
Krause AHansen MHasselbring W(2021)Live Visualization of Dynamic Software Cities with Heat Map Overlays2021 Working Conference on Software Visualization (VISSOFT)10.1109/VISSOFT52517.2021.00024(125-129)Online publication date: Sep-2021
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Manju Bhatia P(2021)Validation of Object-Oriented Static and Dynamic Metrics2021 Fourth International Conference on Computational Intelligence and Communication Technologies (CCICT)10.1109/CCICT53244.2021.00079(406-411)Online publication date: Jul-2021
https://doi.org/10.1109/CCICT53244.2021.00079
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Index Terms

Dynamic coupling metrics for object oriented software systems: a survey
1. General and reference
  1. Cross-computing tools and techniques
    1. Metrics

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Published In

cover image ACM SIGSOFT Software Engineering Notes

ACM SIGSOFT Software Engineering Notes Volume 39, Issue 2

March 2014

99 pages

ISSN:0163-5948

DOI:10.1145/2579281

Editor:
Mike Wing

Issue’s Table of Contents

Copyright © 2014 Authors.

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 29 March 2014

Published in SIGSOFT Volume 39, Issue 2

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Cited By

Navas-Su JGonzalez-Torres A(2022)An approach for the forecasting of the maintainability of system functionalitiesProceedings of the 2022 European Symposium on Software Engineering10.1145/3571697.3571702(33-42)Online publication date: 27-Oct-2022
https://dl.acm.org/doi/10.1145/3571697.3571702
Krause AHansen MHasselbring W(2021)Live Visualization of Dynamic Software Cities with Heat Map Overlays2021 Working Conference on Software Visualization (VISSOFT)10.1109/VISSOFT52517.2021.00024(125-129)Online publication date: Sep-2021
https://doi.org/10.1109/VISSOFT52517.2021.00024
Manju Bhatia P(2021)Validation of Object-Oriented Static and Dynamic Metrics2021 Fourth International Conference on Computational Intelligence and Communication Technologies (CCICT)10.1109/CCICT53244.2021.00079(406-411)Online publication date: Jul-2021
https://doi.org/10.1109/CCICT53244.2021.00079
Manju Bhatia P(2021)A Survey of Static and Dynamic Metrics Tools for Object Oriented EnvironmentEmerging Research in Computing, Information, Communication and Applications10.1007/978-981-16-1342-5_40(521-530)Online publication date: 1-Dec-2021
https://doi.org/10.1007/978-981-16-1342-5_40
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Delgado J(2020)Lowering Coupling in Distributed Applications With Compliance and ConformanceApplications and Approaches to Object-Oriented Software Design10.4018/978-1-7998-2142-7.ch002(35-77)Online publication date: 2020
https://doi.org/10.4018/978-1-7998-2142-7.ch002
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https://doi.org/10.4018/978-1-5225-8933-4.ch005
Schnoor HHasselbring W(2020)Comparing Static and Dynamic Weighted Software Coupling MetricsComputers10.3390/computers90200249:2(24)Online publication date: 30-Mar-2020
https://doi.org/10.3390/computers9020024
Delgado J(2019)Improving Application Integration by Combining Services and ResourcesNew Perspectives on Information Systems Modeling and Design10.4018/978-1-5225-7271-8.ch009(197-226)Online publication date: 2019
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Delgado J(2019)Enterprise Integration With the Structural Services Architectural StyleTechnological Developments in Industry 4.0 for Business Applications10.4018/978-1-5225-4936-9.ch015(352-392)Online publication date: 2019
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