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https://ptsldigital.ukm.my/jspui/handle/123456789/513222Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.advisor | Muriati Mukhtar, Prof. Madya | - |
| dc.contributor.author | Zadeh Ali Taei (P57857) | - |
| dc.date.accessioned | 2023-10-16T04:34:47Z | - |
| dc.date.available | 2023-10-16T04:34:47Z | - |
| dc.date.issued | 2013-10-17 | - |
| dc.identifier.other | ukmvital:82261 | - |
| dc.identifier.uri | https://ptsldigital.ukm.my/jspui/handle/123456789/513222 | - |
| dc.description | Service oriented architecture (SOA) is an ideal architecture to support today's business challenges such as agility and flexibility. Service identification represents the first phase in service modeling, a necessary step in SOA. The majority of existing service identification methods (SIMs) considered technical oriented aspects which rely on reusing the legacy systems. These methods require the employment of professionals with high technical skills. This need coupled with the lack of comprehensive guidelines makes it difficult for small and medium enterprises (SMEs) to implement SOA. Thus, it is necessary to develop a business oriented SIM that will take into consideration SMEs capabilities and limitations. Furthermore, reviewing existing SIMs reveal the lack of business aligned services, automation, and quality of services as additional challenging issues. Hence, the main aim of this research is to propose a service identification framework for medium enterprises that results in the identification of business aligned services which satisfy service quality factors such as cohesion, coupling and reusability. The proposed ASIF will serve as a guideline for service identification that spans from scope determination to refinement of service candidates. In order to achieve this goal, it is necessary to firstly identify and select suitable SIM input types and secondly, to determine appropriate techniques to extract services automatically. Subsequently, the proposed SIM is then validated and finally an ASIF tool to support automation is developed. The objectives of this research are realized via a combination of approaches, which are an in-depth literature review, case studies and prototyping. The main result is the ASIF that consists of five distinct phases namely scope determination, enterprise goals modeling and business process modeling, tasks weighting, clustering and the refinement of the primary service list. The framework is made of three layers, the inner layer representing the stakeholders, the outer layer which consists of five phases supported by the components in the middle layer. ASIF relies on business aligned entities via BPMN, UML Activity Diagrams and goals as unique sources of inputs to guarantee delivery of business aligned services. Embedded in ASIF are various techniques and methods to facilitate service identification. This includes an algorithm for converting business processes to be used for clustering algorithm that is involved in extracting the service candidates on the basis of relativity, reusability, cohesion and coupling among the tasks of business processes. Goals concept is added to the service quality measures to select goals related services among the service candidates. Service candidates are then refined based on their goals-supporting weight. Furthermore, an ASIF tool is designed to support integration of ASIF phases as well as its automation. The proposed ASIF is validated by two case studies that represent different organizations. ASIF's clear guidelines enable SMEs to capitalize on the benefits of SOA. In addition, the ASIF is also applicable to large enterprises with minor modifications.,Ph.D | - |
| dc.language.iso | eng | - |
| dc.publisher | UKM, Bangi | - |
| dc.relation | Faculty of Information Science and Technology / Fakulti Teknologi dan Sains Maklumat | - |
| dc.rights | UKM | - |
| dc.subject | Computer architecture. | - |
| dc.title | Service identification framework for medium enterprises | - |
| dc.type | Theses | - |
| dc.format.pages | 310 | - |
| dc.identifier.callno | QA76.9.A73 Z334 2014 3 | - |
| dc.identifier.barcode | 001765 | - |
| Appears in Collections: | Faculty of Information Science and Technology / Fakulti Teknologi dan Sains Maklumat | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| ukmvital_82261+SOURCE1+SOURCE1.0.PDF Restricted Access | 8.62 MB | Adobe PDF |  View/Open |
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