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Related papers: Business Process Measures

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Predictive business process monitoring is concerned with the prediction how a running process instance will unfold up to its completion at runtime. Most of the proposed approaches rely on a wide number of different machine learning (ML)…

Artificial Intelligence · Computer Science 2021-04-21 Martin Käppel , Stefan Jablonski , Stefan Schönig

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,…

Performance · Computer Science 2018-04-12 Fredrik Milani , Fabrizio M. Maggi

Business Process Management (BPM) has the potential to help companies manage and reduce their activities' negative social and environmental impacts. However, so far, only limited capabilities for analysing the sustainability impacts of…

Software Engineering · Computer Science 2025-03-19 Andreas Fritsch

The Business Process Modeling Notation (BPMN) is a widely used standard notation for defining intra- and inter-organizational workflows. However, the informal description of the BPMN execution semantics leads to different interpretations of…

Software Engineering · Computer Science 2024-10-09 Tim Kräuter , Adrian Rutle , Harald König , Yngve Lamo

Business Process Model and Notation (BPMN) is a widely used standard for modelling business processes. While automated planning has been proposed as a method for simulating and reasoning about BPMN workflows, most implementations remain…

Artificial Intelligence · Computer Science 2025-11-25 Jasper Nie , Christian Muise , Victoria Armstrong

This article introduces a metamodel for the Business Model Canvas (BMC) using the Unified Modelling Language (UML), together with a dedicated Domain-Specific Modelling Language (DSML) tool. Although the BMC is widely adopted by both…

Software Engineering · Computer Science 2026-02-16 Nordine Benkeltoum

Data-driven analysis of business processes has a long tradition in research. However, recently the term of process mining is mostly used when referring to data-driven process analysis. As a consequence, awareness for the many facets of…

Software Engineering · Computer Science 2025-12-25 Matthias Stierle , Karsten Kraume , Martin Matzner

The widely adopted Business Process Model and Notation (BPMN) is a cornerstone of industry standards for business process modeling. However, its ambiguous execution semantics often result in inconsistent interpretations, depending on the…

Software Engineering · Computer Science 2024-06-19 Gerhard Zeisler , Tim Tobias Braunauer , Albert Fleischmann , Robert Singer

Purpose- The significance of business processes has fostered a close collaboration between academia and industry. Moreover, the business landscape has witnessed continuous transformation, closely intertwined with technological advancements.…

Business process modelling languages typically enable the representation of business process models by employing (graphical) symbols. These symbols can vary depending upon the verbosity of the language, the modeling paradigm, the focus of…

Other Computer Science · Computer Science 2020-01-14 Greta Adamo , Chiara Ghidini , Chiara Di Francescomarino

Commercially available business process management systems (BPMS) still suffer to support organizations to enact their business processes in an effective and efficient way. Current BPMS, in general, are based on BPMN 2.0 and/or BPEL. It is…

Multiagent Systems · Computer Science 2014-05-20 J. Kotremba , S. Raß , R. Singer

Business process design and monitoring are essential elements of Business Process Management (BPM), often relying on Service Oriented Architectures (SOA). However the current BPM approaches and standards have not sufficiently reduced the…

Software Engineering · Computer Science 2016-06-15 Adrian Mos , Mario Cortes-Cornax

Binary "YES-NO" notions of process compliance are not very helpful to managers for assessing the operational performance of their company because a large number of cases fall in the grey area of partial compliance. Hence, it is necessary to…

Artificial Intelligence · Computer Science 2020-12-25 Ho-Pun Lam , Mustafa Hashmi , Akhil Kumar

Business process modelling languages typically enable the representation of business process models by employing (graphical) symbols. These symbols can vary depending upon the verbosity of the language, the modelling paradigm, the focus of…

Software Engineering · Computer Science 2025-07-25 Greta Adamo , Chiara Ghidini , Chiara Di Francescomarino

We present a metamodel for modeling control and data flows on subclass scales in object-oriented systems. UML Profiles were used as a representation mean and a complete metamodel definition was provided with an example of a diagram…

Software Engineering · Computer Science 2014-12-15 Alexander Reshytko

This work proposes a quantitative metric to analyze potential reusability of a BPEL (Business Process Execution Language) Process. The approach is based on Description and Logic Mismatch Probability of a BPEL Process that will be reused…

Software Engineering · Computer Science 2014-05-26 A. Khoshkbarforoushha , P. Jamshidi , M. Fahmideh , L. Wang , R. Ranjan

Complex system design often proceeds in an iterative fashion, starting from a high-level model and adding detail as the design matures. This process can be assisted by metamodeling techniques that automate some model manipulations and check…

Systems and Control · Electrical Eng. & Systems 2019-10-10 Natasha Jarus , Sahra Sedigh Sarvestani , Ali R. Hurson

Business Process Management (BPM) is the discipline which is responsible for management of discovering, analyzing, redesigning, monitoring, and controlling business processes. One of the most crucial tasks of BPM is discovering and…

Computation and Language · Computer Science 2021-04-02 Ngoc Phuoc An Vo , Irene Manotas , Octavian Popescu , Algimantas Cerniauskas , Vadim Sheinin

[Context] The increasing adoption of machine learning (ML) in software systems demands specialized ideation approaches that address ML-specific challenges, including data dependencies, technical feasibility, and alignment between business…

Software Engineering · Computer Science 2025-06-26 Silvio Alonso , Antonio Pedro Santos Alves , Lucas Romao , Hélio Lopes , Marcos Kalinowski

Complex biological processes are usually experimented along time among a collection of individuals. Longitudinal data are then available and the statistical challenge is to better understand the underlying biological mechanisms. The…

Statistics Theory · Mathematics 2015-06-11 Pierre Barbillon , Célia Barthélémy , Adeline Samson