Diplomarbeit DIP-2651

Bibliograph.
Daten
Niedermann, Florian: Development of a method for the integrated handling of process variables and operational data sources.
Universität Stuttgart, Fakultät Informatik, Elektrotechnik und Informationstechnik, Diplomarbeit Nr. 2651 (2008).
138 Seiten, englisch.
CR-Klassif.D.2.2 (Software Engineering Design Tools and Techniques)
D.2.12 (Software Engineering Interoperability)
H.4.1 (Office Automation)
H.5.2 (Information Interfaces and Presentation User Interfaces)
Kurzfassung

The goal of the BIA (Business Impact Analysis) project is to give a holistic view on the information available in an organisation. This view is provided by an analysis method called “deep business analysis”. While current analysis methods usually focus on either process data or on operational data stored in a data warehouse, a deep business analysis aims at considering these two perspectives to-gether. For executing a deep business analysis, it is necessary to link process data to its operational data sources. For this purpose, the BIA framework defines two mechanisms:

1. A direct data link between process data and operational data sources.

2. A link that is based on a semantic description of both the process data and the operational data.

This thesis develops a method for establishing both the direct data link and the semantic link from the perspective of a process designer. In order to achieve this it evaluates existing related approaches to the semantic description of business processes and related artefacts and extends one of these approaches as necessary to include the direct data link. Based on the method, a tool is implemented that allows for anno-tating BPEL variables and WSDL documents with the information nec-essary to realize the semantic and the direct data link. The tool is developed in Java and integrates with the Oracle SOA Suite and the IBM Process Server.

CopyrightFlorian Niedermann
Abteilung(en)Universität Stuttgart, Institut für Parallele und Verteilte Systeme, Anwendersoftware
Projekt(e)BIA
Eingabedatum11. Juni 2008
   Publ. Abteilung   Publ. Institut   Publ. Informatik