Industry 4.0-potentials for creating smart products: empirical research results
Industry 4.0 combines the strengths of traditional industries with cutting edge internet
technologies. It embraces a set of technologies enabling smart products integrated into …
technologies. It embraces a set of technologies enabling smart products integrated into …
Complexity metrics for process models–A systematic literature review
G Polančič, B Cegnar - Computer Standards & Interfaces, 2017 - Elsevier
Context One of the focal purposes of using 'visual'process models (ie process diagrams) is
to ensure easier, universally understood and unambiguous diagrammatic communication …
to ensure easier, universally understood and unambiguous diagrammatic communication …
Machine learning in business process monitoring: a comparison of deep learning and classical approaches used for outcome prediction
Predictive process monitoring aims at forecasting the behavior, performance, and outcomes
of business processes at runtime. It helps identify problems before they occur and re …
of business processes at runtime. It helps identify problems before they occur and re …
[LIBRO][B] Metrics for process models: empirical foundations of verification, error prediction, and guidelines for correctness
J Mendling - 2008 - books.google.com
Business process modeling plays an important role in the management of business
processes. As valuable design artifacts, business process models are subject to quality …
processes. As valuable design artifacts, business process models are subject to quality …
[HTML][HTML] Complexity in declarative process models: Metrics and multi-modal assessment of cognitive load
Complex process models can hinder the comprehension of the underlying business
processes. While several metrics have been suggested in the literature to evaluate the …
processes. While several metrics have been suggested in the literature to evaluate the …
A guidelines framework for understandable BPMN models
Business process modeling allows abstracting and reasoning on how work is structured
within complex organizations. Business process models represent blueprints that can serve …
within complex organizations. Business process models represent blueprints that can serve …
Process mining using BPMN: relating event logs and process models
Process mining is an emerging discipline incorporating methods and tools for the analysis of
system/process executions captured in the form of event logs [1]. Traditionally process …
system/process executions captured in the form of event logs [1]. Traditionally process …
[PDF][PDF] Quality metrics for business process models
In the area of software engineering, quality metrics have shown their importance for good
programming practices and software designs. A design developed by the help of these …
programming practices and software designs. A design developed by the help of these …
Process modeling for smart factories: using science map** to understand the strategic themes, main challenges and future trends
Purpose The purpose of this paper is to identify the relationships between process modeling
and Industry 4.0, the strategic themes and the most used process modeling language in …
and Industry 4.0, the strategic themes and the most used process modeling language in …
[PDF][PDF] On the Detection and Prediction of Errors in EPC Business Process Models.
J Mendling - 2007 - dl.gi.de
This paper gives an extended abstract of my doctoral thesis on detection and prediction of
errors in EPC business process models (see [Men07]). 1 This research is motivated by the …
errors in EPC business process models (see [Men07]). 1 This research is motivated by the …