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

doi:10.1007/978-3-030-27618-8_9

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 proceeding › Contribution 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 language	English
Title of host publication	Database and Expert Systems Applications
Editors	Hartmann S., Küng J., Chakravarthy S., Anderst-Kotsis G., Tjoa A., Khalil I.
Place of Publication	Cham
Publisher	Springer
Pages	118 - 128
ISBN (Print)	978-3-030-27617-1
DOIs	https://doi.org/10.1007/978-3-030-27618-8_9
Publication status	Published - 2019

Publication series

Name	Lecture Notes in Computer Science (LNCS) DEXA 2019
Volume	11707
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Austrian Classification of Fields of Science and Technology (ÖFOS)

502050 Business informatics

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Cite this

Biazus, M., Habekost dos Santos, C., Narumi Takeda, L., Palazzo Moreira de Oliveira, J., Fantinato, M., Mendling, J., & Heloisa Thom, L. (2019). Software Resource Recommendation for Process Execution Based on the Organization’s Profile. In Hartmann S., Küng J., Chakravarthy S., Anderst-Kotsis G., Tjoa A., Khalil I. (Ed.), Database and Expert Systems Applications (pp. 118 - 128). (Lecture Notes in Computer Science (LNCS) DEXA 2019; Vol. 11707). Springer. https://doi.org/10.1007/978-3-030-27618-8_9

Biazus, Miller ; Habekost dos Santos, Carlos ; Narumi Takeda, Larissa et al. / Software Resource Recommendation for Process Execution Based on the Organization’s Profile. Database and Expert Systems Applications. editor / Hartmann S., Küng J., Chakravarthy S., Anderst-Kotsis G., Tjoa A., Khalil I. Cham : Springer, 2019. pp. 118 - 128 (Lecture Notes in Computer Science (LNCS) DEXA 2019).

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title = "Software Resource Recommendation for Process Execution Based on the Organization{\textquoteright}s Profile",

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.",

author = "Miller Biazus and {Habekost dos Santos}, Carlos and {Narumi Takeda}, Larissa and {Palazzo Moreira de Oliveira}, Jos{\'e} and Marcelo Fantinato and Jan Mendling and {Heloisa Thom}, Lucin{\'e}ia",

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series = "Lecture Notes in Computer Science (LNCS) DEXA 2019",

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Biazus, M, Habekost dos Santos, C, Narumi Takeda, L, Palazzo Moreira de Oliveira, J, Fantinato, M, Mendling, J & Heloisa Thom, L 2019, Software Resource Recommendation for Process Execution Based on the Organization’s Profile. in Hartmann S., Küng J., Chakravarthy S., Anderst-Kotsis G., Tjoa A., Khalil I. (ed.), Database and Expert Systems Applications. Lecture Notes in Computer Science (LNCS) DEXA 2019, vol. 11707, Springer, Cham, pp. 118 - 128. https://doi.org/10.1007/978-3-030-27618-8_9

Software Resource Recommendation for Process Execution Based on the Organization’s Profile. / Biazus, Miller; Habekost dos Santos, Carlos; Narumi Takeda, Larissa et al.

Database and Expert Systems Applications. ed. / Hartmann S., Küng J., Chakravarthy S., Anderst-Kotsis G., Tjoa A., Khalil I. Cham : Springer, 2019. p. 118 - 128 (Lecture Notes in Computer Science (LNCS) DEXA 2019; Vol. 11707).

Publication: Chapter in book/Conference proceeding › Contribution to conference proceedings

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AU - Biazus, Miller

AU - Habekost dos Santos, Carlos

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AU - Fantinato, Marcelo

AU - Mendling, Jan

AU - Heloisa Thom, Lucinéia

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N2 - 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.

AB - 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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Biazus M, Habekost dos Santos C, Narumi Takeda L, Palazzo Moreira de Oliveira J, Fantinato M, Mendling J et al. Software Resource Recommendation for Process Execution Based on the Organization’s Profile. In Hartmann S., Küng J., Chakravarthy S., Anderst-Kotsis G., Tjoa A., Khalil I., editor, Database and Expert Systems Applications. Cham: Springer. 2019. p. 118 - 128. (Lecture Notes in Computer Science (LNCS) DEXA 2019). doi: 10.1007/978-3-030-27618-8_9