Integrating process learning and process evolution - A semantics based approach

Stefanie Rinderle, Barbara Weber, Manfred Reichert, Werner Wild

Research output: Chapter in Book/Report/Conference proceedingBook chapterResearchpeer-review

Abstract

Companies are developing a growing interest in aligning their information systems in a process-oriented way. However, current process-aware information systems (PAIS) fail to meet process flexibility requirements, which reduces the applicability of such systems. To overcome this limitation PAIS should capture the whole process life cycle and all kinds of changes in an integrated way. In this paper we present such a holistic approach providing full process life cycle support by combining the ADEPT framework for dynamic process changes with the concepts and methods provided by case-based reasoning (CBR) technology. This allows expressing the semantics of process changes, their memorization and their reuse to perform similar changes in the future. If the same or similar process instance changes occur frequently, potential process type changes are suggested to the process engineer. The process engineer can then perform a schema evolution and migrate running instances to the new schema version by using the ADEPT framework. Finally, the case-base related to the old schema version is migrated as well. © Springer-Verlag Berlin Heidelberg 2005.
Original languageEnglish
Title of host publicationBusiness Process Management
Number of pages16
Volume3649
PublisherSpringer Berlin Heidelberg
Publication date2005
Pages252-267
Publication statusPublished - 2005
Externally publishedYes
EventInternational Conference on Business Process Management - Nancy, France
Duration: 5 Sep 20058 Sep 2005
Conference number: 3

Conference

ConferenceInternational Conference on Business Process Management
Number3
CountryFrance
CityNancy
Period05/09/200508/09/2005
SeriesLecture Notes in Computer Science
ISSN0302-9743

Cite this

Rinderle, S., Weber, B., Reichert, M., & Wild, W. (2005). Integrating process learning and process evolution - A semantics based approach. In Business Process Management (Vol. 3649, pp. 252-267). Springer Berlin Heidelberg. Lecture Notes in Computer Science