2008
DOI: 10.4304/jsw.3.2.1-14
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Formalising Service-Oriented Design

Abstract:

Service-Oriented Computing (SOC) is an emerging paradigm for developing software systems that employ services. Presently there is already much research effort in the areas of service discovery and orchestration, business process modelling, and the semantic web. While these are all important aspects for moving towards t… Show more

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Cited by 22 publications
(20 citation statements)
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“…There are a number of works proposing metrics for measuring the attributes of serviceoriented software. Perepletchikov et al [11] extend the generic software model of Briand [30] to propose a formal model for "structural and behavioral properties" of serviceoriented software and introduce metrics for measuring cohesion [10] and coupling [12]. Rud et al [13] describe metrics for measuring the granularity of services; Hirzalla et al [14] focus on flexibility.…”
Section: Related Workmentioning
confidence: 99%
“…There are a number of works proposing metrics for measuring the attributes of serviceoriented software. Perepletchikov et al [11] extend the generic software model of Briand [30] to propose a formal model for "structural and behavioral properties" of serviceoriented software and introduce metrics for measuring cohesion [10] and coupling [12]. Rud et al [13] describe metrics for measuring the granularity of services; Hirzalla et al [14] focus on flexibility.…”
Section: Related Workmentioning
confidence: 99%
“…The establishment of a service-orientation requires the identification of the necessary services and their capabilities [3,15]. Before these services can be implemented, a service inventory blueprint describing the potential services and their capabilities in a conceptual manner is required.…”
Section: Introductionmentioning
confidence: 99%
“…As already discussed (Section 1), the latter requirement (i.e., exactly matching input/output data types) may lead to the overestimation of cohesion lack. Another problem that may also negatively affect the precision of SISC and SIDC is that the approach proposed in [10], [11], [12] for the calculation of the metrics values does not make any distinction between normal input/output data and meta-data that are common in all operations.…”
Section: Related Workmentioning
confidence: 99%
“…However, they can not be used to reflect the relevance of the operations of service interfaces. Generally, in SOA the state of the art on cohesion metrics for service interfaces is limited to the work of Perepletchikov et al [10], [11], [12]. In this line of research the authors consider various notions of cohesion and propose corresponding metrics.…”
Section: Related Workmentioning
confidence: 99%
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