Process mining is a growing and promising study area focused on understanding processes
and to help capture the more significant findings during real execution rather than, those …

In the last decade, Process Mining has established as an emerging discipline for being
oriented to the discovery, monitoring, and improvement of processes. This article presents …

Process mining offers a set of techniques for gaining data-based insights into business
processes from event logs. The literature acknowledges the potential benefits of using …

This research recognizes the limitation and challenges of adapting and applying Process
Mining as a powerful tool and technique in the Hypothetical Software Architecture (SA) …

Process discovery, as the most crucial learning task in the process mining, builds some
highly complex process models such as “spaghetti-like” from event logs contained large …

Characterizing how users interact with software has many applications. For example, to
understand which features are used, in which sequence operations are performed, etc. can …

During the execution of a software system, tremendous amounts of data are recorded, and
such data provide valuable information on software runtime behavior analysis. This paper …

Software development with its unique characteristics having knowledge-intensive and
human-oriented aspects and complex domains, challenges organizations. The timely …

Sažetak We present an approach of constructing a source code history for a modern code
review. Practically, it is supposed to be used in programming training, especially within initial …

During the execution of software, tremendous amounts of data can be recorded. By
exploiting the execution data, one can discover behavioral models to describe the actual …