Business process management aims at capturing, understanding, and improving work in organizations. The central artifacts are process models, which serve different purposes. Detailed process models are used to analyze concrete working procedures, while high-level models show, for instance, handovers between departments. To provide different views on process models, business process model abstraction has emerged. While several approaches have been proposed, a number of abstraction use case that are both relevant for industry and scientifically challenging are yet to be addressed. In this paper we systematically develop, classify, and consolidate different use cases for business process model abstraction. The reported work is based on a study with BPM users in the health insurance sector and validated with a BPM consultancy company and a large BPM vendor. The identified fifteen abstraction use cases reflect the industry demand. The related work on business process model abstraction is evaluated against the use cases, which leads to a research agenda.

Business process modeling plays an important role in the management of business processes. As valuable design artifacts, business process models are subject to quality considerations. The absence of formal errors such as deadlocks is of paramount importance for the subsequent implementation of the process. In his book Jan Mendling develops a framework for the detection of formal errors in business process models and the prediction of error probability based on quality attributes of these models (metrics). He presents a precise description of Event-driven Process Chains (EPCs), their control-flow semantics and a suitable correctness criterion called EPC soundness.

In this book, we study theoretical and practical aspects of computing methods for mathematical modelling of nonlinear systems. A number of computing techniques are considered, such as methods of operator approximation with any given accuracy; operator interpolation techniques including a non-Lagrange interpolation; methods of system representation subject to constraints associated with concepts of causality, memory and stationarity; methods of system representation with an accuracy that is the best within a given class of models; methods of covariance matrix estimation;methods for low-rank matrix approximations; hybrid methods based on a combination of iterative procedures and best operator approximation; andmethods for information compression and filtering under condition that a filter model should satisfy restrictions associated with causality and different types of memory.As a result, the book represents a blend of new methods in general computational analysis,and specific, but also generic, techniques for study of systems theory ant its particularbranches, such as optimal filtering and information compression.- Best operator approximation,- Non-Lagrange interpolation,- Generic Karhunen-Loeve transform- Generalised low-rank matrix approximation- Optimal data compression- Optimal nonlinear filtering

The material collected in this book covers a broad range of applications of computer science methods and algorithms in business practice. It presents cutting edge research in development, implementation, and improvement of computer systems. The computer science and information systems topics covered include data warehouses, ERP, XML, ontologies, rule languages, software engineering and Business Process Management.

Studienarbeit aus dem Jahr 2010 im Fachbereich BWL - Sonstiges, Note: 1,0, AKAD University, ehem. AKAD Fachhochschule Stuttgart, Sprache: Deutsch, Abstract: „BPMN setzt sich durch in der Praxis.“ Thomas Allweyer, Professor für Unternehmensmodellierung an der Fachhochschule Kaiserslautern, 2009a Die Business Process Modelling Notation (BPMN) ist in letzter Zeit zusehends in das Blickfeld von Entwicklern gerückt, da sie zwei wichtige Funktionen in der Entwicklung moderner Unternehmenssoftware übernehmen will. Zum einen soll sie eine Kommunikationsbrücke zwischen der Fach- und der Informationstechnologiewelt bilden, zum anderen strebt sie die direkte Ausführbarkeit derart erstellter Prozesse an (Stiehl 2009).