2009
DOI: 10.1007/978-3-642-10383-4_36
|View full text |Cite
|
Sign up to set email alerts
|

Measuring the Quality of Service Oriented Design

Abstract: 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 m… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1
1

Citation Types

0
50
0

Year Published

2011
2011
2022
2022

Publication Types

Select...
5
3

Relationship

0
8

Authors

Journals

citations
Cited by 32 publications
(50 citation statements)
references
References 14 publications
0
50
0
Order By: Relevance
“…The emphasis of above discussed approaches was not on the detection of the anti-patterns in the service interfaces. Sindhgatta et al [43] presented a comprehensive literature survey on service cohesion, coupling, and reusability metrics, and they come up with five new cohesions and coupling metrics that are set as a new service design requirement. A rule-based approach capable for the specification and detection of anti-patterns using a set of metrics.…”
Section: Stat Of the Artmentioning
confidence: 99%
“…The emphasis of above discussed approaches was not on the detection of the anti-patterns in the service interfaces. Sindhgatta et al [43] presented a comprehensive literature survey on service cohesion, coupling, and reusability metrics, and they come up with five new cohesions and coupling metrics that are set as a new service design requirement. A rule-based approach capable for the specification and detection of anti-patterns using a set of metrics.…”
Section: Stat Of the Artmentioning
confidence: 99%
“…Still, the main focus was not on identifying bad practices or poor design decisions in the service interfaces. Also, Sindhgatta et al [22] performed a thorough literature survey on service cohesion, coupling, and reusability metrics, and proposed five new cohesion and coupling metrics, which they described as new quality criteria for service design. These metrics are even at the WSDL code-level; in contrast, we assess the design and QoS of Web services.…”
Section: Related Workmentioning
confidence: 99%
“…Reusability [7] λ1(S1) = -0.5 * Coupling + 0.61 * ServiceGranularity + 0.61 * Parameter Granularity Medium Adaptability [6] λ2(S1)=NumConsumers Satisfied Variants/ NumTotalApplicableConsumers High Granularity [5] λ3 (S1)= 1/number of "atomic process" in owls file…”
Section: Effective Factors Metric _ Importance Levelmentioning
confidence: 99%