The metrics process

Metrics in process discovery

The field of process mining aims at extracting knowledge from event logs. It has caught the attention of many developers, scientists, researchers and organizations that conform an active and growing community. This has lead to an increasing number of techniques being developed. However, it is hard to evaluate the results of these techniques because there is a recognized lack of frameworks and b...

Metrics Generation Process for Mechatronics

Metrics for knowledge management process

Knowledge management can be defined as a set of processes that includes knowledge creation, storage, dissemination, application, and measurement within the organization. As any other organizational process, knowledge management should be evaluated in order to verify if it is achieving the expected results. The aim of this paper is to relate metrics with the knowledge management process phases. ...

Using Process Mining Metrics to Measure Noisy Process Fidelity

Background: When teams follow a software development process they do not follow the process consistently. We need a method to measure their fidelity to that process. Objective: To evaluate Rozinat and Aalst’s metrics for process conformance to a state based model on noisy data (Rozinat and van der Aalst, 2008). Method: We instructed 14 teams that were developing a software system using Extreme ...

Capturing Process Behavior with Log-Based Process Metrics

Currently, process mining literature is primarily focused on the discovery of comprehensible process models that best capture the underlying behavior in event logs. Consequently, the resulting models a) aggregate information, based on algorithm-specific assumptions, and b) transform information into a simplified representation. Both characteristics, which are valuable in certain, different cont...