  Process mining has gained traction over the past decade and an impressive
body of research has resulted in the introduction of a variety of process
mining approaches measuring process performance. Having this set of techniques
available, organizations might find it difficult to identify which approach is
best suited considering context, performance indicator, and data availability.
In light of this challenge, this paper aims at introducing a framework for
categorizing and selecting performance analysis approaches based on existing
research. We start from a systematic literature review for identifying the
existing works discussing how to measure process performance based on
information retrieved from event logs. Then, the proposed framework is built
starting from the information retrieved from these studies taking into
consideration different aspects of performance analysis.
