EBPA: A NOVEL FRAMEWORK FOR ANALYSIS OF PROCESS PERFORMANCE ON BASIS OF REAL TIME NASA APPLICATION

Workflow mining is an important research area of information systems designed for the specific organization as per their needs or challenges. The beginning stage of workflow mining purely based on the event log that extracted from a legacy information system. The learning got along these logs can build comprehension about the workflow of procedures and association of different processes. That can help with upgrading them if necessary. In this paper, we perform the extraction of the workflow model using workflow mining. This process is effective and efficient as compared with building workflow model from scratch. This paper displays a process performance-based framework where we compare the reference model with the extracted model based on key performance indices. This approach is not principally comprising of subjective investigation. Principle worry of subjective investigation is the legitimate rightness of procedures (nonattendance of oddities, similar to gridlocks and livelocks). The idea is conceptualized and validated by experimentation using a suitable data set. In this paper, the analysis that was finished amid the undertaking will be talked about, and the modules that have been executed will be depicted.