Property-Based Software Engineering Measurement
IEEE Transactions on Software Engineering
Object-oriented metrics: measures of complexity
Object-oriented metrics: measures of complexity
A Unified Framework for Coupling Measurement in Object-Oriented Systems
IEEE Transactions on Software Engineering
A Metrics Suite for Object Oriented Design
IEEE Transactions on Software Engineering
IEEE Transactions on Software Engineering
A Comprehensive Empirical Validation of Design Measures for Object-Oriented Systems
METRICS '98 Proceedings of the 5th International Symposium on Software Metrics
A Metrics Suite for Measuring Reusability of Software Components
METRICS '03 Proceedings of the 9th International Symposium on Software Metrics
Interface Metrics for Reusability Analysis of Components
ASWEC '04 Proceedings of the 2004 Australian Software Engineering Conference
Coupling Metrics for Predicting Maintainability in Service-Oriented Designs
ASWEC '07 Proceedings of the 2007 Australian Software Engineering Conference
Cohesion Metrics for Predicting Maintainability of Service-Oriented Software
QSIC '07 Proceedings of the Seventh International Conference on Quality Software
Soa: principles of service design
Soa: principles of service design
Evaluating legacy assets in the context of migration to SOA
Software Quality Control
IBM Systems Journal
Simple metric for assessing quality of service design
ICSOC'10 Proceedings of the 2010 international conference on Service-oriented computing
Metrics for BPEL process context-independency analysis
Service Oriented Computing and Applications
| Hi-index | 0.00 |
Service Oriented Architecture (SOA) has gained popularity as a design paradigm for realizing enterprise software systems through abstract units of functionality called services. While the key design principles of SOA have been discussed at length in the literature, much of the work is prescriptive in nature and do not explain how adherence to these principles can be quantitatively measured in practice. In some cases, metrics for a limited subset of SOA quality attributes have been proposed, but many of these measures have not been empirically validated on real-life SOA designs. In this paper, we take a deeper look at how the key SOA quality attributes of service cohesion, coupling, reusability, composability and granularity may be evaluated, based only on service design level information. We survey related work, adapt some of the well-known software design metrics to the SOA context and propose new measures where needed. These measures adhere to mathematical properties that characterize the quality attributes. We study their applicability on two real-life SOA design models from the insurance industry using a metrics computation tool integrated with an Eclipse-based service design environment. We believe that availability of these measures during SOA design will aid early detection of design flaws, allow different design options and trade-offs to be considered and support planning for development, testing and governance of the services.