Article

Coupling Metrics for Predicting Maintainability in Service-Oriented Designs

Authors:

Mikhail Perepletchikov,

Caspar Ryan,

Keith Frampton,

Zahir TariAuthors Info & Claims

ASWEC '07: Proceedings of the 2007 Australian Software Engineering Conference

Pages 329 - 340

https://doi.org/10.1109/ASWEC.2007.17

Published: 10 April 2007 Publication History

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Abstract

Service-Oriented Computing (SOC) is emerging as a promising paradigm for developing distributed enterprise applications. Although some initial concepts of SOC have been investigated in the research literature, and related technologies are in the process of adoption by an increasing number of enterprises, the ability to measure the structural attributes of service-oriented designs thus predicting the quality of the final software product does not currently exist. Therefore, this paper proposes a set of metrics for quantifying the structural coupling of design artefacts in service-oriented systems. The metrics, which are validated against previously established properties of coupling, are intended to predict the quality characteristic of maintainability of service-oriented software. This is expected to benefit both research and industrial communities as existing object-oriented and procedural metrics are not readily applicable to the implementation of service-oriented systems.

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Hasan MOsman MAdmodisastro NMuhammad M(2023)AI-based Quality-driven Decomposition Tool for Monolith to Microservice MigrationProceedings of the 2023 4th Asia Service Sciences and Software Engineering Conference10.1145/3634814.3634839(181-191)Online publication date: 27-Oct-2023
https://dl.acm.org/doi/10.1145/3634814.3634839
de Freitas Apolinário Dde França BCavalcante EDantas FBatista TPinto G(2020)Towards a method for monitoring the coupling evolution of microservice-based architecturesProceedings of the 14th Brazilian Symposium on Software Components, Architectures, and Reuse10.1145/3425269.3425273(71-80)Online publication date: 19-Oct-2020
https://dl.acm.org/doi/10.1145/3425269.3425273
Cebotari VKugele S(2020)Playground for Early Automotive Service Architecture Design and Evaluation2020 IEEE Intelligent Vehicles Symposium (IV)10.1109/IV47402.2020.9304633(1349-1356)Online publication date: 19-Oct-2020
https://dl.acm.org/doi/10.1109/IV47402.2020.9304633
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Published In

ASWEC '07: Proceedings of the 2007 Australian Software Engineering Conference

April 2007

405 pages

ISBN:0769527787

Publisher

IEEE Computer Society

United States

Publication History

Published: 10 April 2007

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Hasan MOsman MAdmodisastro NMuhammad M(2023)AI-based Quality-driven Decomposition Tool for Monolith to Microservice MigrationProceedings of the 2023 4th Asia Service Sciences and Software Engineering Conference10.1145/3634814.3634839(181-191)Online publication date: 27-Oct-2023
https://dl.acm.org/doi/10.1145/3634814.3634839
de Freitas Apolinário Dde França BCavalcante EDantas FBatista TPinto G(2020)Towards a method for monitoring the coupling evolution of microservice-based architecturesProceedings of the 14th Brazilian Symposium on Software Components, Architectures, and Reuse10.1145/3425269.3425273(71-80)Online publication date: 19-Oct-2020
https://dl.acm.org/doi/10.1145/3425269.3425273
Cebotari VKugele S(2020)Playground for Early Automotive Service Architecture Design and Evaluation2020 IEEE Intelligent Vehicles Symposium (IV)10.1109/IV47402.2020.9304633(1349-1356)Online publication date: 19-Oct-2020
https://dl.acm.org/doi/10.1109/IV47402.2020.9304633
Cardarelli MIovino LDi Francesco PDi Salle AMalavolta ILago PHung CPapadopoulos G(2019)An extensible data-driven approach for evaluating the quality of microservice architecturesProceedings of the 34th ACM/SIGAPP Symposium on Applied Computing10.1145/3297280.3297400(1225-1234)Online publication date: 8-Apr-2019
https://dl.acm.org/doi/10.1145/3297280.3297400
Bogner JWagner SZimmermann AStaron MMeding WPetersen KGencel C(2017)Automatically measuring the maintainability of service- and microservice-based systemsProceedings of the 27th International Workshop on Software Measurement and 12th International Conference on Software Process and Product Measurement10.1145/3143434.3143443(107-115)Online publication date: 25-Oct-2017
https://dl.acm.org/doi/10.1145/3143434.3143443
Bogner JWagner SZimmermann Ade Lemos R(2017)Towards a practical maintainability quality model for service-and microservice-based systemsProceedings of the 11th European Conference on Software Architecture: Companion Proceedings10.1145/3129790.3129816(195-198)Online publication date: 11-Sep-2017
https://dl.acm.org/doi/10.1145/3129790.3129816
Johari KKaur AMeghanathan NWozniak M(2012)Interoperability issues in Web ServicesProceedings of the Second International Conference on Computational Science, Engineering and Information Technology10.1145/2393216.2393318(614-619)Online publication date: 26-Oct-2012
https://dl.acm.org/doi/10.1145/2393216.2393318
Ribeiro Hde Almeida Ede Lemos Meira S(2011)An approach for implementing core assets in service-oriented product linesProceedings of the 15th International Software Product Line Conference, Volume 210.1145/2019136.2019155(1-4)Online publication date: 21-Aug-2011
https://dl.acm.org/doi/10.1145/2019136.2019155
Hock-koon AOussalah M(2010)Specifying loose coupling from existing service composition approachesProceedings of the 4th European conference on Software architecture10.5555/1887899.1887944(464-471)Online publication date: 23-Aug-2010
https://dl.acm.org/doi/10.5555/1887899.1887944
Hock-koon AOussalah M(2010)Many to many service discoveryProceedings of the 4th European conference on Software architecture10.5555/1887899.1887942(449-456)Online publication date: 23-Aug-2010
https://dl.acm.org/doi/10.5555/1887899.1887942
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Predicting web service maintainability via object-oriented metrics: a statistics-based approach

Cohesion Metrics for Predicting Maintainability of Service-Oriented Software

A Coupling and Cohesion Metrics Suite for Object-Oriented Software

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