A Quality Model for Evaluating Reusability of Services in SOA

Choi, Si Won; Kim, Soo Dong

doi:10.1109/cecandeee.2008.134

Cited by 37 publications

(19 citation statements)

References 5 publications

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“…Rud et al [13] describe metrics for measuring the granularity of services; Hirzalla et al [14] focus on flexibility. Choi et al [15] describe metrics for the reusability of services. However, their work is only partially applicable for evaluating service designs because the metrics discussed are mostly meant for application on an entire service-oriented architecture with fully implemented services, i.e.…”

Section: Related Workmentioning

confidence: 99%

“…Furthermore, their work does not explicitly describe design attributes that refer to elements of a service design or metrics. Other work emphasizing metrics in the context of service-oriented architecture, as introduced by Perepletchikov et al [10,12], Rud et al [13], Hirzalla et al [14], and Choi et al [15], is only partly applicable for evaluating service designs with respect to service characteristics because some metrics require more information than is actually available during the design phase. In other cases, the relation of the measured design attribute to the desired service characteristics is not apparent, which reduces the motivation to apply this metric.…”

Section: Introductionmentioning

confidence: 99%

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Evaluation of Service Designs Based on SoaML

Gebhart

Baumgartner

Oehlert

et al. 2010

2010 Fifth International Conference on Software Engineering Advances

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Abstract-In the context of service-oriented architectures, services are expected to fulfill certain service characteristics, such as high autonomy or loose coupling. In order to easily influence the design of these services, it is desirable to evaluate their characteristics early on in the development process, i.e. during design time. Related work focuses on the description of desired service characteristics that refer to services as a whole and does not address the evaluation of service designs in terms of their characteristics. Thus, in this paper, we analyze common and widespread service characteristics, derive evaluable design attributes that refer to elements of service designs based on SoaML, and demonstrate the formalization of an exemplarily design attribute using OCL. The application of the identified design attributes on a tentative service design of a service-oriented surveillance system helps to create a revised service design with improved service characteristics.

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Section: Related Workmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Evaluation of Service Designs Based on SoaML

Gebhart

Baumgartner

Oehlert

et al. 2010

2010 Fifth International Conference on Software Engineering Advances

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“…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%

“…Rate of combining threshold would be considered 0. 6 and combining rate of candidate services would be compared to the threshold amount. 4.…”

Section: Proposed Local Algorithmmentioning

confidence: 99%

Presenting an Algorithm for Choosing an Optimum Local Service Based on the Qualitative Feature of Combining

Hemmati¹

2014

IJIIS

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Abstract:The combination of web services is the result of complex and increasing needs of the users and disability of single web services in resolving the users' needs. One of the important challenges in the field of web 2.0 is the combination of web services based on their qualitative features. Since it is probable that there would be several different combinations of services for achieving a specific goal, choosing the service is based on some qualitative features like combining, availability, acceptability, service cost and security. One of the important issues is the quantitative survey of combining rate of the two services shared on the combination. So in this research, in the first stage, for measuring the combining rate, the effective factors on this feature would be surveyed. In the second stage, for choosing the optimum service based on the qualitative feature of combining, the local strategy is used. The proposed algorithm in local strategy selects services that their combining rate is more than a specific threshold. The implementations and analysis show that the proposed algorithm presents the optimum service in user's view with an acceptable combining capability. Also, the analysis of results and an evaluation with a case study show the optimized results of the local proposed algorithms compared to existing methods.

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“…Measuring reusability enables one to analyze the reduction in cost or development time when building any software. Metrics for reusability in object oriented system have been stated by [2][3] [4][5], for component based system have been addressed by [11][14] [15] and similarly for service oriented system [42] [43]. There exists various metrics for measuring reusability of object oriented system and component based system.…”

Section: Introductionmentioning

confidence: 99%

Strength Estimation of Relation between Metrics in Evolution based Model

Shanmugasundaram¹,

Venkatesan²,

Devi³

2012

IJCA

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Object oriented system was the programming paradigm which aimed at the concept of software reuse. This reuse concept which has obtained its significance there upon needed to be strengthened in software systems and design concepts. This paved the basic idea behind evolving of software design paradigms into component and service oriented systems respectively. An evolution based model had been formed based on a template designed to study and record how the metrics are categorised between the three systems. This paper projects the improvement done over the model in order to relate the metrics quantitatively. The maturity level of reuse metrics stated through the evolution based model is established by bringing out the strength of the relationship that is estimated through the study.

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A Quality Model for Evaluating Reusability of Services in SOA

Cited by 37 publications

References 5 publications

Evaluation of Service Designs Based on SoaML

Evaluation of Service Designs Based on SoaML

Presenting an Algorithm for Choosing an Optimum Local Service Based on the Qualitative Feature of Combining

Strength Estimation of Relation between Metrics in Evolution based Model

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