?
BPMNDiffViz: A Tool for BPMN Models Comparison
Ch. 8. P. 35-39.
Ivanov S. Y., Kalenkova A. A., van der Aalst W.
Automatic comparison of business processes plays an important role
in their analysis and optimization. In this paper we present the web-based tool
BPMNDiffViz, that finds business processes discrepancies and visualizes them.
BPMN (Business Process Model and Notation) 2.0 - one of the most commonly
used notations for process modeling was chosen as a representation. This tool
implements a structural graph-based comparison analysis using an A* algorithm.
Publication based on the results of:
In book
Vol. 1418. , Innsbruck : CEUR-WS.org, 2015
Ivanov S. Y., Kalenkova A. A., , in : Preliminary Proceedings of the 9th Spring/Summer Young Researchers' Colloquium on Software Engineering (SYRCoSE 2015). : M. : [б.и.], 2015. P. 144-148.
Comparing business process models is one of the most significant challenges for business and systems analysts. The complexity of the problem is explained by the fact there is a lack of tools that can be used for comparing business process models. Also there is no universally accepted standard for modeling them. EPC, YAWL, BPEL, XPDL ...
Added: June 11, 2015
Skobtsov A., Kalenkova A. A., , in : Proceedings of the MACSPro Workshop 2019. Vol. 2478: CEUR Workshop Proceedings.: CEUR-WS.org, 2019.
Companies from various domains record their operational
behavior in a form of event logs. These event logs can be analyzed and
relevant process models representing the real companies’ behavior can be
discovered. One of the main advantages of the process discovery methods
is that they commonly produce models in a form of graphs which can be
easily visualized giving an ...
Added: October 13, 2019
Ivanov S. Y., Kalenkova A. A., Proceedings of the Institute for System Programming of the RAS 2015 Vol. 27 No. 3 P. 255-266
Comparing business process models is one of the most significant challenges for business and systems analysts. The complexity of the problem is explained by the fact there is a lack of tools that can be used for comparing business process models. Also there is no universally accepted standard for modeling them. EPC, YAWL, BPEL, XPDL ...
Added: September 17, 2015
Kalenkova A. A., van der Aalst W., Lomazova I. A. et al., Software and Systems Modeling 2017 Vol. 16 No. 4 P. 1019-1048
Process-aware information systems (PAIS) are systems relying on processes, which involve human and software resources to achieve concrete goals. There is a need to develop approaches for modeling, analysis, improvement and monitoring processes within PAIS. These approaches include process mining techniques used to discover process models from event logs, find log and model deviations, and ...
Added: June 11, 2015
Springer, 2013
BPM 2013 was the 11th conference in a series that provides a prestigious forum for researchers and practitioners in the field of business process management (BPM). The conference was organized by Tsinghua University, China, and took place during August 26–30, 2013, in Beijing, China. Compared to previous editions of BPM, this year we noted a ...
Added: November 3, 2013
Mitsyuk A. A., Shugurov I., Kalenkova A. A. et al., Simulation Modelling Practice and Theory 2017 Vol. 74 P. 1-16
Business Process Model and Notation (BPMN) is a de-facto standard for practitioners working in the Business Process Management (BPM) field. The BPMN standard [1] offers high-level modeling constructs, such as subprocesses, events, data and message flows, lanes, and is widely used to model processes in various domains. Recently several BPMN-based process mining techniques [2, 3, ...
Added: October 13, 2016
Westergaard M., Slaats T., , in : BPMD 2013. BPM Demo Sessions 2013. Proceedings of the BPM Demo sessions 2013 Co-located with 11th International Conference on Business Process Management (BPM2013) Beijing, China, August 26-30, 2013. Vol. 1021: CEUR Workshop Proceedings.: CEUR-WS.org, 2013. P. 31-35.
UnconstrainedMiner is a tool for fast and accurate mining Declare constraints from models without imposing any assumptions about the model. Declare models impose constraints instead of explicitly stating event orders. Constraints can impose various choices and ordering of events; constraints typically have understandable names, but for details, refer to [5]. Current state-of-the-art mining tends to ...
Added: November 3, 2013
van der Aalst W., , in : Proceedings of the 2013 Federated Conference on Computer Science and Information Systems. Vol. 1: Annals of Computer Science and Information Systems.: Warsz. : Polskie Towarzystwo Informatyczne, 2013. P. 1-10.
Operational processes leave trails in the information systems supporting them. Such event data are the starting point for process mining – an emerging scientific discipline relating modeled and observed behavior. The relevance of process mining is increasing as more and more event data become available. The increasing volume of such data (“Big Data”) provides both ...
Added: November 14, 2013
Kalenkova A. A., TU/e Eindhoven, 2018
Information systems in different domains, such as healthcare, tourism, banking, government and others, record operational behavior in the form of event logs. The process mining discipline offers dozens of techniques to discover, analyze, and visualize processes running in information systems, based on their event logs. The representational bias (the language for processes representation) plays an ...
Added: June 14, 2018
Switzerland : Springer, 2024
This book constitutes revised papers from the International Workshops held at the 21st International Conference on Business Process Management, BPM 2023, in Utrecht, The Netherlands, during September 2023.
Papers from the following workshops are included:
• 7th International Workshop on Artificial Intelligence for Business Process Management (AI4BPM 2023)
• 7th International Workshop on Business Processes Meet Internet-of-Things (BP-Meet-IoT ...
Added: January 17, 2024
Kalenkova A. A., Агеев А. А., Lomazova I. A. et al., , in : BPM 2017 International Workshops, Barcelona, Spain, September 10-11, 2017, Revised Papers. Vol. 308.: Springer, 2018. P. 484-496.
E-government web services are becoming increasingly popular among citizens of various countries. Usually, to receive a service, the user has to perform a sequence of steps. This sequence of steps forms a service rendering process. Using process mining techniques this process can be discovered from the information system’s event logs. A discovered process model of ...
Added: October 11, 2017
Kalenkova A. A., de Leoni M., van der Aalst W., , in : Proceedings of the BPM Demo sessions 2014 Co-located with 12th International Conference on Business Process Management (BPM2014) Eindhoven, The Netherlands, September 10, 2014. Vol. 1295.: Eindhoven : CEUR-WS.org, 2014. Ch. 8. P. 36-40.
Process mining techniques relate observed behavior to modeled behavior, e.g., the automatic discovery of a process model based on an event log. Process mining is not limited to process discovery and also includes conformance checking and model enhancement. Conformance checking techniques are used to diagnose the deviations of the observed behavior as recorded in the ...
Added: October 24, 2014
Skobtsov A., Kalenkova A. A., , in : 2019 IEEE 23rd International Enterprise Distributed Object Computing Workshop (EDOCW). : IEEE, 2019. P. 85-91.
Goal modeling is widely used to align stakeholders requirements with architectural models. In contrast to goal models which are usually defined by stakeholders, architectural models are not always defined explicitly, or systems may not be used as they were designed. To understand the real behavior of a system, process mining techniques can be applied. These ...
Added: October 13, 2019
Kalenkova A. A., van der Aalst W., Lomazova I. A. et al., , in : MODELS '16 Proceedings of the ACM/IEEE 19th International Conference on Model Driven Engineering Languages and Systems. : NY : ACM, 2016. P. 123-123.
Process mining is an emerging discipline incorporating methods and tools for the analysis of system/process executions captured in the form of event logs. Traditionally process mining can be divided into three research areas: discovery (construction of process models from event logs), conformance checking (finding log and model deviations), and enhancement of existing process models with ...
Added: October 8, 2016
Kalenkova A. A., Burattin A., de Leoni M. et al., Business Process Management Journal 2019 Vol. 25 No. 5 P. 995-1019
Purpose – The purpose of this paper is to demonstrate that process mining techniques can help to discover
process models from event logs, using conventional high-level process modeling languages, such as Business
Process Model and Notation (BPMN), leveraging their representational bias.
Design/methodology/approach – The integrated discovery approach presented in this work is aimed
to mine: control, data and resource ...
Added: October 15, 2018
Alexey Mitsyuk, Anna Kalenkova, Sergey A. Shershakov et al., Business Informatics 2014 Vol. 29 No. 3 P. 15-27
E-trade systems are widely used to automate sales processes. Inefficiencies and bottlenecks in the sales processes lead to business losses. Conventional approaches to identifying problems require much time and result in subjective conclusions. This paper proposes an approach for the analysis of e-trade system processes based on the application of process mining techniques. Process mining ...
Added: August 29, 2014
Mitsyuk A. A., Lomazova I. A., van der Aalst W., Automatic Control and Computer Sciences 2017 Vol. 51 No. 7 P. 709-723
Added: December 1, 2017
-, 2016
The issue contains papers accepted for presentation at the 10th Spring/Summer Young Researchers’ Colloquium on Software Engineering (SYRCoSE 2016) held in Krasnovidovo, Mozhaysky District, Moscow Oblast, Russia on May 30-June 1, 2016. The paper selection was based on originality and contributions to the field. Each paper was peer-reviewed by at least three referees.
The colloquium’s topics ...
Added: June 5, 2016
Nikitina V., Panfilov Peter, , in : Digitalization of Society, Economics and Management: A Digital Strategy Based on Post-pandemic Developments. Issue 53.: Springer, 2022. Ch. 13. P. 173-185.
Added: April 22, 2022
Mitsyuk A. A., Shugurov I., Моделирование и анализ информационных систем 2014 Т. 21 № 4 С. 181-198
Process mining is a new emerging discipline related to process management, formal process models, and data mining. One of the main tasks of process mining is the model synthesis (discovery) based on the event logs. A wide range of algorithms for process model discovery, analysis, and enhancement are developed. The real-life event logs often contain ...
Added: October 20, 2014
Springer, 2021
This book constitutes revised selected papers from the 9th International Conference on Analysis of Images, Social Networks and Texts, AIST 2020, held during October 15-16, 2020. The conference was planned to take place in Moscow, Russia, but changed to an online format due to the COVID-19 pandemic.
The 27 full papers and 4 short papers presented ...
Added: October 7, 2020
Mecheraoui K., Carrasquel Gamez J. C., Lomazova I. A., , in : Proceedings of the Conference on Modeling and Analysis of Complex Systems and Processes 2020 (MACSPro 2020). Vol. 2795.: CEUR Workshop Proceedings, 2020. P. 34-45.
This paper presents a compositional conformance checking approach between nested Petri nets and event logs of multi-agent systems. By projecting an event log onto model components, one can perform conformance checking between each projected log and the corresponding component. We formally demonstrate the validity of our approach proving that, to check fitness of a nested ...
Added: January 14, 2021
M. : HSE, 2013
Human reasoning uses to distinguish things that do change and things do not. The latter are commonly expressed in the reasoning as objects, which may represent classes or instances, and classes being further divided into concept types and relation types. These became the main issue of knowledge engineering and have been well tractable by computer. ...
Added: October 27, 2013
Nizhny Novgorod : Higher School of Economics in Nizhny Novgorod, 2012
This volume contains a set of dedicated scientific contributions to the 11th International Conference on Perspectives in Business Informatics Research. The peer-reviewed and tentatively selected papers cover a broad scope of modern research in Business Informatics, and include new results in such domains as: Knowledge Management and Semantic Web, Business and information systems development, Business, ...
Added: November 19, 2012