Abstract Purpose The complexity of BPMN 2.0.2 has driven the development of several modeling guidelines to support process modelers. However, the large number of guidelines complicates application. This study introduces a method to prioritize guidelines, enabling modelers to focus on the most critical ones, improving model clarity and interpretability. Design/methodology/approach The study applies the analyticContinue reading
Category: News
Accepted paper for Simpósio Brasileiro de Sistemas de Informação
Resumo Context: Process mining is a discipline that combines data science (data mining) and process science (Business Process Management – BPM), which has become crucial for large organizations as it enables the discovery, maintenance, and improvement of business processes. Problem: In the context of process mining in Brazil, there is a gap in the consolidatedContinue reading
Accepted article for BPMJ
Glad to announce that our article“Investigating Business Process Changes: A Framework for Identifying Outdated Process Models” has been acceped for publication in the Business Process Managent Journal – BPMJ and will be soon available online. Congrats to my former PhD student Diego Toralles Avila. Thanks for the collaboration in this article Gregor Polančič Encarna SosaContinue reading
Paper accepted for SBIE 2024
We will be at the Brazilian Symposium on Informatics in Education, a satellite event of the XIII Brazilian Congress on Informatics in Education. The article “Investigating the Use of Intelligent Tutors Based on Large Language Models: Automated generation of Business Process Management questions using the Revised Blooms Taxonomy” has been accepted for publication. Guilherme Rockembach,Continue reading
Paper accepted for CENTERIS 2024
Our paper “Development and Evaluation of an Interactive Web Interface for BPMN Elements Identification from Natural Language Text” has been accepted for presentation at the CENTERIS 2024 – International Conference on ENTERprise Information Systems. Congratulations Vitor Camargo de Moura and Guilherme Rockembach. Thanks for the collaboration in this paper Marcelo Pimenta, Encarna Sosa Sánchez andContinue reading
Talk in Café com Pesquisa (Coffee with Research)
Accepted paper for CENTERIS 2023
The discovery of process information in natural language documents is hindered by the innate ambiguity of natural language. This issue is even more challenging when process information is spread throughout several documents, each with the possibility of different formats, writers, and original purposes, that must be read and interpreted individually by a business analyst beforeContinue reading
Accepted paper for Information Systems
BPMN-Sim: A multilevel structural similarity technique for BPMN process models. Marcia Tavares Garcia, Marina Macedo Nunes, Marcelo Fantinato, Sarajane Marques Peres, Lucinéia Heloisa Thom. Information Systems Journal. Elsevier: 2023. Abstract A better treatment of subprocesses by process model similarity techniques can provide improved results to stakeholders, allowing them to define which levels in the subprocess hierarchy are most relevant for similarity measurement. This articleContinue reading
Accepted papers for SBSI 2023
Using Machine Learning to Classify Process Model Elements for Process Infrastructure Analysis. Diego Avila (UFGRS), Vitor Camardo de Moura (UFGRS), Lucineia Thom (UFGRS). Robotic Process Automation in Latin American Organizations: Survey and Evaluation of the Current State of Technology Adoption. Rachele Bianchi Sganderla (UFRGS), Marcelo Fantinato (USP), Lucineia Thom (UFRGS) Simpósio Brasileiro de Sistemas deContinue reading
Palestra na ESCOLA REGIONAL DE SISTEMAS DE INFORMAÇÃO (ERSI-GO)
Link para o pdf da palestra. Site do evento.