This thesis focuses on modeling of business processes which are very sensitive on correct capturing of process details characterized as process events and states. At the beginning of the analysis are the process events and states classified into three types: activity related, object related and time related. Each type is analyzed in detail and there are formulated states and their transitions that form a lifecycle of each individual type of the process state. There are discussed contemporary process modeling languages starting from the very popular to relatively less known, all representing slightly different approach towards process modeling. The analysis of process events and states shows that the contemporary process modeling languages cover the defined lifecycles only partially. There are picked three popular process modeling languages and put through a test case, which is based on Czech regulation of a building process. This test case allows us to review their capabilities to capture the process events including the ways how they get along with their only partial support. Upon analysis of process events and states and the unsatisfying results of the con-temporary process modeling languages in the test case, there is introduced a new process modeling language which, as demonstrated, is capable of capturing many of the process events and states in the test case in much simpler and precise way that the three reviewed process modeling languages were able to.

Submitted by Luciana Ferreira (lucgeral@gmail.com) on 2017-07-19T11:05:26Z No. of bitstreams: 2 Dissertação - Gilmar Teixeira Junior - 2017.pdf: 6982787 bytes, checksum: c52c456e0cb8184f1f7144d862bff726 (MD5) license_rdf: 0 bytes, checksum: d41d8cd98f00b204e9800998ecf8427e (MD5) / Approved for entry into archive by Luciana Ferreira (lucgeral@gmail.com) on 2017-07-19T11:05:52Z (GMT) No. of bitstreams: 2 Dissertação - Gilmar Teixeira Junior - 2017.pdf: 6982787 bytes, checksum: c52c456e0cb8184f1f7144d862bff726 (MD5) license_rdf: 0 bytes, checksum: d41d8cd98f00b204e9800998ecf8427e (MD5) / Made available in DSpace on 2017-07-19T11:05:52Z (GMT). No. of bitstreams: 2 Dissertação - Gilmar Teixeira Junior - 2017.pdf: 6982787 bytes, checksum: c52c456e0cb8184f1f7144d862bff726 (MD5) license_rdf: 0 bytes, checksum: d41d8cd98f00b204e9800998ecf8427e (MD5) Previous issue date: 2017-05-03 / Storing information in large data repositories (Big Data) creates opportunities for Organizations to use Process Mining techniques to extract knowledge about the performance and actual flow of their processes of business. One of the fundamental elements for achieving this objective is the relationship between process modeling languages, process event logging (logs) and Process Mining algorithms. In this work, comparisons were made between three languages (BPMN, Petri Nets and YAWL) which are usually used to model business processes with respect to their capabilities of use in Process Mining, especially in Process Discovery. The models created were based on typical Workflow patterns and five scenarios were simulated for each language using three Process Discovery algorithms (Alpha, Heuristic Miner and ILP Miner). The results indicate that the choice of the language used in the modeling and in recording of the business processes influences the quality of the results obtained by the Process Discovery algorithms. This work also presents suggestions for the development of process modeling languages and process mining algorithms. / O armazenamento das informações em grandes repositórios de dados (Big Data) geram oportunidades para que as Organizações utilizem técnicas de Mineração de Processos (Process Mining) para extrair conhecimento sobre o desempenho e o fluxo real de seus processos de negócio. Um dos elementos fundamentais para que este objetivo seja alcançado está na relação entre as linguagens de modelagem de processos, o registro dos eventos de processo (logs) e os algoritmos de Mineração de Processos. Neste trabalho, foram realizadas comparações entre três linguagens (BPMN, Redes de Petri e YAWL) normalmente utilizadas para modelar processos de negócio com respeito a suas capacidades de utilização na Mineração de Processos, em especial, na Descoberta de Processos. Os modelos criados foram baseados em padrões típicos de Workflow e cinco cenários foram simulados para cada linguagem utilizando três algoritmos de Descoberta de Processos (Alpha, Heuristic Miner e ILP Miner). Os resultados indicam que a escolha da linguagem utilizada na modelagem e no registro dos processos de negócio influencia na qualidade dos resultados obtidos pelos algoritmos de Descoberta de Processos. O trabalho também apresenta sugestões para o desenvolvimento das linguagens de modelagem de processos e dos algoritmos de Mineração de Processos.