A Qualitative Approach to Effort Judgment for Web Service Composition Based SOA Implementations

Zheng, Li; O’Brien, Liam

doi:10.1109/aina.2011.20

Cited by 9 publications

(13 citation statements)

References 125 publications

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“…Increasing number of integrated services will increase the weight of service integration. The REST is less complex than SOAP [19] Communicates directly with the processor.…”

Section: Ignored Traditional Function Point Factorsmentioning

confidence: 99%

“…Each type of service has its own cost factors and its cost estimation approach. In this paper, the services are classified based on the service construction [19] into available, migrated, new or composed services.…”

Section: Classification Of Servicesmentioning

confidence: 99%

“…Composed: A composed service is a service composed of one or more of the above service types [19]. To estimate the cost of this service, the service is broken down into its basic component services.…”

Section: Classification Of Servicesmentioning

confidence: 99%

“… Wrapping: Wrapping [19] is a black box migration strategy in which service interface is built to wrap the existing legacy system;  Re-engineering :Re-engineering is the adjustment of the application to be in a new form to enable adding new functionality to the legacy system easily;  Replacement: is removing the old system and replace it with the new service(s). Each migration strategy has its own cost factors as detailed in [6].…”

Section: Classification Of Servicesmentioning

confidence: 99%

“…To estimate the cost of this service, the service is broken down into its basic component services. Estimate each service based on its type and all the efforts are summed to get the overall effort of the composed service [19].…”

Section: Classification Of Servicesmentioning

confidence: 99%

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An Approach for Effort Estimation of Service Oriented Architecture (SOA) Projects

Farrag¹,

Moawad²,

Imam³

2016

JSW

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Abstract:In the last few decades SOA (Service Oriented Architecture) has become the new trend in the IT industry. Many organizations tend to migrate to SOA in order to cope with the rapidly changing business. Effort estimation of SOA projects has become a real challenge to project managers due to the limited literatures addressing this issue. The traditional effort estimation techniques do not fit SOA projects entirely, as SOA has unique characteristics were not addressed by the traditional cost estimation approaches. These unique SOA characteristics include: loose coupling, reusability, composability and discoverability. On the other hand, cost estimation approaches that were proposed to estimate SOA projects, are still immature and most of them are impractical. They cannot be used in real life projects, as they are more guidelines than actual practical cost estimation approaches. This paper proposes an effort estimation approach for SOA projects that has been applied to different variety of services. It considers SOA characteristics and the various cost factors for different types of services including available, migrated, new and composed services. This proposed approach provides effort estimation technique for each type of service. The proposed approach also gives effort distribution among project phases for easily resources allocation. This framework has been applied to real life projects in the IT industry as the SOA project is divided into its component services and each service is estimated solely based on its type. The services' efforts are then aggregated to calculate the project's overall effort. The estimated effort relative error in the case studies ranges from 3.66 % and 19.14%.

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“…Increasing number of integrated services will increase the weight of service integration. The REST is less complex than SOAP [19] Communicates directly with the processor.…”

Section: Ignored Traditional Function Point Factorsmentioning

confidence: 99%

Section: Classification Of Servicesmentioning

confidence: 99%

Section: Classification Of Servicesmentioning

confidence: 99%

Section: Classification Of Servicesmentioning

confidence: 99%

Section: Classification Of Servicesmentioning

confidence: 99%

See 3 more Smart Citations

An Approach for Effort Estimation of Service Oriented Architecture (SOA) Projects

Farrag¹,

Moawad²,

Imam³

2016

JSW

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A novel adaptive structure for SOA system effort estimation

Mishra

Kumar

2016

Trans. Emerging Tel. Tech.

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This paper addresses a novel adaptive structure to solve the problem of service‐oriented architecture (SOA) system effort estimation. The objective of our work is to combine the insights of signals theory with empirical research to find a recommendation scheme for the problem of SOA system effort estimation. The main motivation for using this structure is to enhance the principle of self‐adaptability to the situation at hand. The proposed structure consists of an adaptive filter composed of linear combiner of filter weights, input and desired values. Additionally, a gradient steepest descent method is used to adjust the filter parameters (training process) using the least mean square algorithm. Furthermore, an experimental analysis is conducted with the proposed structure using the data of 10 past SOA system industrial applications, and in the empirical analysis, two performance measurement metrics and an evaluation function are used to assess the performance in terms of predictive accuracy. The experimental analysis and comparison study are helpful to demonstrate the effectiveness of an estimation technique. The obtained results indicate that an improved predictive accuracy for the problem of SOA system effort estimation has been achieved using the proposed structure when compared with support vector machines, linear, stepwise and ordinary least square regression techniques. Copyright © 2016 John Wiley & Sons, Ltd.

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Study on service selection effort estimation in service oriented architecture‐based applications powered by information entropy weight fuzzy comprehensive evaluation model

Siddiqui

Tyagi

2018

IET softw.

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Service selection is a very challenging core task in service oriented architecture-based application (SOABA) development. Service selection is based on user's business need and budget available. A large amount of effort is invested in selecting the most preferred service from a pool of similar services available in the market by various service providers. To propose a direction for solving the problem of service selection effort (SSE) estimation in SOABA is the objective in this study. An algorithm for SSE estimation powered by information entropy weight (IEW) fuzzy comprehensive evaluation model is presented in this study wherein the synthesis performance of each candidate service is evaluated to select the most preferred service. Larger the synthesis performance of a candidate service, higher the chances of its selection and less will be the effort invested. An empirical study is presented that assess the 24 significant parameters that affect SSE estimation by using proposed algorithm. This approach is comprehensible and rational and well suited for SOABA. The results obtained via this proposed method suggest its applicability and usefulness for real-world applications. The proposed work also explains why IEW method is useful for SSE estimation along with the research gap in existing common evaluation methods.

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A Qualitative Approach to Effort Judgment for Web Service Composition Based SOA Implementations

Cited by 9 publications

References 125 publications

An Approach for Effort Estimation of Service Oriented Architecture (SOA) Projects

An Approach for Effort Estimation of Service Oriented Architecture (SOA) Projects

A novel adaptive structure for SOA system effort estimation

Study on service selection effort estimation in service oriented architecture‐based applications powered by information entropy weight fuzzy comprehensive evaluation model

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