header
Image from OpenLibrary

An approach to monitor business process compliance rules / Marwa Hussein Zaki ; Supervised Osman Hegazy Mohamed Osman , Ahmed Mahmoud Hany Aly Awad

By: Contributor(s): Material type: TextTextLanguage: English Publication details: Cairo : Marwa Hussein Zaki , 2017Description: 64 Leaves : charts , facsimiles ; 30cmOther title:
  • منهج لرصد القواعد الملزمة لاجراءات العمل [Added title page title]
Subject(s): Available additional physical forms:
  • Issued also as CD
Dissertation note: Thesis (M.Sc.) - Cairo University - Faculty of Computers and Information - Department of Information Systems Summary: Business Process Management (BPM) is a holistic management approach that aims at aligning the organizations{u2019} business processes with the needs of their clients. In order to achieve this, BPM uses a systematic approach to continuously improve business process{u2019}s effectiveness and efficiency. Compliance checking is an important area because without it, organizations may face a lot of problems starting with litigations risks that may affect the quality of the organizations services to consumers. So it is an essential matter to ensure compliance of business processes over the entire business process (BP) lifecycle; especially at the runtime phase.Monitoring is achieved by listening to events generated from business process execution. In this regard, there are several frameworks that enable the monitoring based on variants of event processing technologies. Most of these frameworks presume a rich activity lifecycle model for the execution of tasks within business processes. However, most of process execution engines support simpler lifecycle models. Thus, these frameworks fall short in monitoring compliance for such engines due to missing needed input events.In this research, we present a middleware layer that maps different execution engines{u2019} lifecycles states to a reference lifecycle model. Also, unmatched and missing events will be derived from execution engines{u2019} states using complex event processing (CEP) techniques
Tags from this library: No tags from this library for this title. Log in to add tags.
Star ratings
    Average rating: 0.0 (0 votes)
Holdings
Item type Current library Home library Call number Copy number Status Date due Barcode
Thesis Thesis قاعة الرسائل الجامعية - الدور الاول المكتبة المركزبة الجديدة - جامعة القاهرة Cai01.20.04.M.Sc.2017.Ma.A (Browse shelf(Opens below)) Not for loan 01010110075314000
CD - Rom CD - Rom مخـــزن الرســائل الجـــامعية - البدروم المكتبة المركزبة الجديدة - جامعة القاهرة Cai01.20.04.M.Sc.2017.Ma.A (Browse shelf(Opens below)) 75314.CD Not for loan 01020110075314000

Thesis (M.Sc.) - Cairo University - Faculty of Computers and Information - Department of Information Systems

Business Process Management (BPM) is a holistic management approach that aims at aligning the organizations{u2019} business processes with the needs of their clients. In order to achieve this, BPM uses a systematic approach to continuously improve business process{u2019}s effectiveness and efficiency. Compliance checking is an important area because without it, organizations may face a lot of problems starting with litigations risks that may affect the quality of the organizations services to consumers. So it is an essential matter to ensure compliance of business processes over the entire business process (BP) lifecycle; especially at the runtime phase.Monitoring is achieved by listening to events generated from business process execution. In this regard, there are several frameworks that enable the monitoring based on variants of event processing technologies. Most of these frameworks presume a rich activity lifecycle model for the execution of tasks within business processes. However, most of process execution engines support simpler lifecycle models. Thus, these frameworks fall short in monitoring compliance for such engines due to missing needed input events.In this research, we present a middleware layer that maps different execution engines{u2019} lifecycles states to a reference lifecycle model. Also, unmatched and missing events will be derived from execution engines{u2019} states using complex event processing (CEP) techniques

Issued also as CD

There are no comments on this title.

to post a comment.