Lecture Notes in Business Information Processing, pages 85-100
Requirements Framework for Batch Processing in Business Processes
Publication type: Book Chapter
Publication date: 2017-05-16
Q3
SJR: 0.339
CiteScore: 2.3
Impact factor: —
ISSN: 18651348, 18651356
Abstract
Business process automation improves organizations’ efficiency. In existing systems for business process automation, process instances run independently from each other. However, synchronizing instances for particular activities in a business process can reduce process execution costs. Only a few works exist to enable the so-called batch processing in business processes, which also lack a complete understanding of requirements. This paper provides a requirements analysis based on a literature review and real-world scenarios, taken from different domains. The resulting requirements framework gives an overview of aspects which need to be considered when developing a concept to integrate batch processing into business processes. Further, it fosters the comparison of existing solutions. The application of the framework shows that current approaches could be extended in terms of flexibility, user involvement, and multi-process support.
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Pufahl L., WESKE M. Requirements Framework for Batch Processing in Business Processes // Lecture Notes in Business Information Processing. 2017. pp. 85-100.
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Pufahl L., WESKE M. Requirements Framework for Batch Processing in Business Processes // Lecture Notes in Business Information Processing. 2017. pp. 85-100.
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TY - GENERIC
DO - 10.1007/978-3-319-59466-8_6
UR - https://doi.org/10.1007/978-3-319-59466-8_6
TI - Requirements Framework for Batch Processing in Business Processes
T2 - Lecture Notes in Business Information Processing
AU - Pufahl, Luise
AU - WESKE, MATHIAS
PY - 2017
DA - 2017/05/16
PB - Springer Nature
SP - 85-100
SN - 1865-1348
SN - 1865-1356
ER -
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@incollection{2017_Pufahl,
author = {Luise Pufahl and MATHIAS WESKE},
title = {Requirements Framework for Batch Processing in Business Processes},
publisher = {Springer Nature},
year = {2017},
pages = {85--100},
month = {may}
}