A Literature Review on Service Identification Challenges in Service Oriented Architecture

Bani-Ismail, Basel; Baghdadi, Youcef

doi:10.1007/978-3-319-95204-8_18

Cited by 6 publications

(2 citation statements)

References 39 publications

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“…Despite the numerous benefits, SOA does bring its own set of challenges [Bani-Ismail and Baghdadi, 2018]. The successful implementation of SOA relies on the rigorous application of standards.…”

Section: Source: Ownmentioning

confidence: 99%

Business Transformation Through Service Oriented Architecture: A Comprehensive Study

Guerrero

Martínez

2023

Preprint

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As the landscape of information systems rapidly evolves, Service Oriented Architecture (SOA) stands out as a potent solution, offering organizations the agility needed to keep pace. By encapsulating application functionality into interoperable services, SOA enables the strategic orchestration of highly adaptive business processes. This shift from traditional web services to SOA is gaining momentum across various sectors. Standardized information technologies facilitate this transition, transforming resources into reusable services and fostering inherently adaptable environments. This research article presents a detailed exploration of SOA and a practical case study from a technology firm based in Pereira, Colombia. This case study highlights both the operational enhancements brought about by SOA and the unexpected positive impacts on employee satisfaction after its implementation. Combining theoretical analysis with a real-world example, this research emphasizes SOA’s potential in reshaping the future of web services. It enriches the existing body of knowledge with empirical evidence and opens up new avenues for future research on the wider impacts of SOA in different organizational settings.

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Section: Source: Ownmentioning

confidence: 99%

Business Transformation Through Service Oriented Architecture: A Comprehensive Study

Guerrero

Martínez

2023

Preprint

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“…There is no precise method for making decision on appropriate level of service granularity 24 and is a challenge in SI. 35 In Reference 24, several guidelines are proposed to specify the appropriate level of granularity. In Reference 23, the mean number of activities performed by a service (|A|/ |s|) is defined as a metric for measuring granularity.…”

Section: Expected Granularitymentioning

confidence: 99%

A model driven and clustering method for service identification directed by metrics

Daghaghzadeh

Babamir

2020

Softw Pract Exp

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Service identification (SI) in the life cycle of service‐oriented architecture is a critical phase. Business models consisting of business process (BP) model and business entity (BE) model are the useful models that may be used for SI. To this end, SI is carried out by partitioning activities in BP based on the activities' use of the entities in BE. However, a proper partitioning activities to services, which is called a service design, is a challenge. This article aims to present a semiautomatized clustering method for partitioning the activities to services, which is directed by new proposed metrics cohesion, coupling, and granularity. With regard to the conflict of the metrics, a multiobjective evolutionary algorithm (MOEA) is used to clustering activities where the metrics are considered as objectives should be optimized. The MOEA produces a set of optimal solutions as proper identified services of a service design. Finally, we used three case studies to show the effectiveness of the proposed method and then evaluated the results.

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A Survey of Existing Evaluation Frameworks for Service Identification Methods: Towards a Comprehensive Evaluation Framework

Bani-Ismail

Baghdadi

2018

Communications in Computer and Information Science

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A Literature Review on Service Identification Challenges in Service Oriented Architecture

Cited by 6 publications

References 39 publications

Business Transformation Through Service Oriented Architecture: A Comprehensive Study

Business Transformation Through Service Oriented Architecture: A Comprehensive Study

A model driven and clustering method for service identification directed by metrics

A Survey of Existing Evaluation Frameworks for Service Identification Methods: Towards a Comprehensive Evaluation Framework

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