A Contextual Data Selection Tool for an Enhanced Business Process Analysis

Abstract

International audienceProcess mining has an important place in business process (BP) analysis. It aims to analyze process events in order to discover the related BP model. However, these techniques are only based on process events and sometimes on business data, leaving aside a large set of data, namely the BP execution context. Existing studies have shown the benefits of considering the context in the BP analysis but they only suggest manual techniques to bind a BP with its context, which is not scalable and time consuming in real deployment environment. To address this issue, we propose a semi-automatic BP contextualization solution which takes into account the BP execution context in the BP analysis time. It uses semantic techniques to perform a matching of the BP model with contextual data and with business data, and then it obtains the value of these data during the BP execution. In this paper, we present a tool that implements this solution in order to enhance current analysis techniques which facilitates the monitoring and enables deep BP analysis. The proposed tool is validated by its application to a real life process, a "palettization" process

Configuração de Processos de Negócio em Organizações Públicas Considerando Informações de Contexto e Requisitos Não-Funcionais

“…A contribuição de [8] consiste no desenho e implementação de uma ferramenta para a seleção dos dados do contexto de execução. A ferramenta analisa o modelo de processo de negócio para selecionar as variáveis contextuais que podem impactar a execução do processo.…”

“…Vários trabalhos de pesquisa mostraram os benefícios da consciência de contexto nos sistemas de Gerenciamento de Processos de Negócio (BPM). O contexto é definido como "o mínimo de variáveis contendo todas as informações relevantes que impactam o projeto e a execução de um BP" [8].…”