Software Resource Recommendation for Process Execution Based on the Organization’s Profile

Miller Biazus, Carlos Habekost dos Santos, Larissa Narumi Takeda, José Palazzo Moreira de Oliveira, Marcelo Fantinato, Jan Mendling, Lucinéia Heloisa Thom

Publication: Chapter in book/Conference proceedingContribution to conference proceedings

Abstract

Lack of information on the infrastructure resources needed to execute business processes may interfere with the execution flow of the BPM lifecycle phases. If an organization recognizes that it does not have the resources needed to execute a process as planned, it might have to redesign the process. This paper presents an approach to recommending the infrastructure resources needed to execute a process. The recommendation relies on the task labels of the process model and comprises two phases: resource type classification and resource recommendation.

The approach contributes to the redesign phase as it provides the process analyst with information on the resources needed to execute the process. It also supports decision-making process before the implementation phase regarding, for example, remodeling, project cancellation, resource procurement etc. The developed approach was validated based on a set of real processes of a public university through a cross-fold validation that reached 83% of accuracy.
Original languageEnglish
Title of host publicationDatabase and Expert Systems Applications
Editors Hartmann S., Küng J., Chakravarthy S., Anderst-Kotsis G., Tjoa A., Khalil I.
Place of PublicationCham
PublisherSpringer
Pages118 - 128
ISBN (Print)978-3-030-27617-1
DOIs
Publication statusPublished - 2019

Publication series

NameLecture Notes in Computer Science (LNCS) DEXA 2019
Volume11707
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Austrian Classification of Fields of Science and Technology (ÖFOS)

  • 502050 Business informatics

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