Quotation Biazus, Miller, dos Santos, Carlos Habekost, Takeda, Larissa Narumi, de Oliveira, José Palazzo Moreira, Fantinato, Marcelo, Mendling, Jan, Thom, Lucinéia Heloisa. 2019. Software Resource Recommendation for Process Execution Based on the Organization’s Profile. Lecture Notes in Computer Science (LNCS). 118-128.


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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.

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Publication's profile

Status of publication Published
Affiliation WU
Type of publication Journal article
Journal Lecture Notes in Computer Science (LNCS)
WU-Journal-Rating new STRAT-C
Language English
Title Software Resource Recommendation for Process Execution Based on the Organization’s Profile
Year 2019
Page from 118
Page to 128
URL http://link.springer.com/content/pdf/10.1007/978-3-030-27618-8_9
DOI http://dx.doi.org/10.1007/978-3-030-27618-8_9
Open Access N

Associations

People
Mendling, Jan (Details)
External
Biazus, Miller (Federal University of Rio Grande do Sul, Brazil)
de Oliveira, José Palazzo Moreira (Federal University of Rio Grande do Sul, Brazil)
dos Santos, Carlos Habekost (Federal University of Rio Grande do Sul, Brazil)
Fantinato, Marcelo (University of São Paulo, Brazil)
Takeda, Larissa Narumi (Federal University of Rio Grande do Sul, Brazil)
Thom, Lucinéia Heloisa (Federal University of Rio Grande do Sul, Brazil)
Organization
Institute for Data, Process and Knowledge Management IN (Details)
Research areas (ÖSTAT Classification 'Statistik Austria')
5367 Management information systems (Details)
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