Document Details

Document Type : Thesis 
Document Title :
A FRAMEWORK FOR EVALUATING INFORMATION SYSTEM DESIGN QUALITY DURING BUSINESS PROCESS MODEL RESTRUCTURING ACTIVITIES
إطار لتقییم جودة تصمیم نظام المعلومات أثناء أنشطة اعادة ھیكلة نموذج سیرالعمليات
 
Subject : Faculty of Computing and Information Technology 
Document Language : Arabic 
Abstract : A business process (BP) model undergoes several changes during its lifecycle, for instance to align, re-organize, or improve existing business activities. These changes restructure the BP model and, hence, affect its quality. In addition, given the tight correlation between the BP and its underlying information system (IS), these changes often affect the IS model. Consequently, any change in the BP model calls for a means to analyze the change impact on both the BP and the IS models in terms of restructuring operations that both models must undergo to remain aligned as well as the effects of the changes on the models’ quality. This thesis proposes a framework based on the alignment between BP model and IS design model to support BP change impact analysis. Towards this end, the proposed framework defines alignment rules between BP modelled in the standard BPMN language and IS design modelled with a UML class diagram. As evaluated experimentally, the BP-IS model alignment rules achieve a high average precision (84%) and recall (77%) rates. In addition, the framework formalizes BP model change operations through a change meta-model used to define the necessary BP model restructuring operations. These are formalized through a set of guidelines that guarantee the quality of the restructured BP model in terms of respect of the BPMN meta-model and best practices. Moreover, together with the BP-IS alignment rules, the change operations are used to elaborate a BP model change status report that business and system analysts can use to analyze the impact of each BP change operation on the IS design. The IS design impact is estimated quantitatively through a set of complexity metrics. 
Supervisor : Prof. Hanene Ben-Abdallah 
Thesis Type : Master Thesis 
Publishing Year : 1439 AH
2018 AD
 
Added Date : Sunday, July 1, 2018 

Researchers

Researcher Name (Arabic)Researcher Name (English)Researcher TypeDr GradeEmail
انعام فيحان العتيبيAlotaibi, Enaam FaihanResearcherMaster 

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