Tese de Doutorado de Carlos Francisco Habekost dos Santos

DEFESA DE TESE DE DOUTORADO

Aluno: Carlos Francisco Habekost dos Santos
Orientadora: Profª. Drª. Lucineia Heloisa Thom

Título: Incrementing the Implementation Perspective of the Business Process Model and Notation: Analysis, Survey and Pseudo-algorithms
Linha de Pesquisa: Modelagem de Dados e Processos de Negócio

Data: 10/06/2021
Horário: 09h

Esta banca ocorrerá excepcionalmente de forma totalmente remota. Interessados em assistir a defesa poderão acessar a sala virtual através do link: https://mconf.ufrgs.br/webconf/00111501.

Banca Examinadora:
Profª. Drª. Isabela Gasparini (UDESC)
Profª. Drª. Lisandra Manzoni Fontoura (UFSM)
Prof. Dr. Marcelo Soares Pimenta (UFRGS)

 
Presidente da Banca: Profª. Drª. Lucineia Heloisa Thom

Abstract: Business Process Management (BPM) is a discipline that aims to document, standardize business processes and increase efficiency and quality in the execution of processes. In BPM, a business process can be represented graphically through the Business Process Model and Notation (BPMN), an ISO standardization for process modeling. With modeled processes, organizations may demand the need for automation. Automation requires information technology to perform a process model using a Business Process Management System (BPMS). However, transforming a business-level process to an automated- level process requires implementation details that are not simple to identify. For example, a process model at the business level does not need to specify what computational resources are necessary to perform or specify the data consumed by a task. Besides knowing the details for transforming the process model, it is necessary to understand the limitations of BPMN and BPMS related to the notational elements, understanding the implemented elements in BPMS, and if these elements follow the BPMN specification. In this thesis, we analyzed the implementation of notational elements in BPMS, performing a protocol to identify implemented elements. Furthermore, we evaluate whether the implementation follows the BPMN specification. This analysis would help those who want to transform a process model, in order to identify notational elements that can be automated. Also, we analyzed the frequencies in which elements appear in the process models. In this case, we evaluated 186 accurate models obtained from a Brazilian public university, a processes database, and a master study research. And along with the analysis of implemented elements, we could identify the preferences of users. We performed a third analysis to obtain feedback from process analysts (people responsible for process modeling) and BPMS developers related to BPMN. We discovered that the preference of users is more focused in improving the implementation of notational elements, than in the insertion of new elements. Our last analysis focused on proposed pseudo-algorithms (structured algorithms) for already implemented elements in the BPMS, with a suggestion to improve the BPMN elements. All analysis performed in this thesis guides the process analysis to identify the notational elements to focus on process automation, besides identifying the limits of BPMS.

Keywords: Notational elements. Automation. Implementation. BPMN. BPMS.