Iskra: A Tool for Process Model Repair
I. S. Shugurov, A. A. Mitsyuk
This paper is dedicated to a tool which is aimed to facilitate process mining experiments and evaluation of the repair algorithms. Process mining is a set of approaches which provides solutions and algorithms for discovery and analysis of business process models based on event logs. Process mining has three main areas of interest: model discovery, conformance checking and enhancement. The paper focuses on the latter. The goal of enhancement process is to refine an existing process model in order to make it adhere event logs. The particular approach of enhancement considered in the paper is called decomposed model repair. Although the paper is devoted to the implementation part of the approach, theoretical preliminaries essential for domain understanding are provided. Moreover, a typical use case of the tool is shown as well as guides to extending the tool and enriching it with extra algorithms and functionality. Finally, other solutions which can be used for implementation of repair schemes are considered, pros and cons of using them are mentioned.
, , Proceedings of the Institute for System Programming of the RAS 2015 Vol. 27 No. 3 P. 237-254
This paper is dedicated to a tool whose aim is to facilitate process mining experiments and evaluation of the repair algorithms. Process mining is a set of approaches which provides solutions and algorithms for discovery and analysis of business process models based on event logs. Process mining has three main areas of interest: model discovery, ...
Added: August 18, 2015
Added: October 13, 2019
, , , , in : Proceedings of the BPM Demo Session 2015. Co-located with the 13th International Conference on Business Process Management (BPM 2015). Vol. 1418.: Innsbruck : CEUR-WS.org, 2015. Ch. 8. P. 35-39.
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 ...
Added: August 12, 2015
Recent Trends in Analysis of Images, Social Networks and Texts. 9th International Conference, AIST 2020, Skolkovo, Moscow, Russia, October 15–16, 2020 Revised Supplementary Proceedings
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
, , et al., , in : 2022 IEEE 16th International Conference on Application of Information and Communication Technologies (AICT). : Washington : IEEE, 2022. P. 1-6.
The article presents an approach to the analyzing processes in different domains using data from various Internet sources (open databases, news feeds, social networks, etc.). This one is suitable to carry out cross-disciplinary research encompassing processes in various fields (for example, economics, medicine, politics, ecology, etc.) in which events can have mutual affects. The concept ...
Added: October 29, 2022
, , Modeling and Analysis of Information Systems 2015 Vol. 22 No. 6 P. 818-833
Information systems (IS) produce numerous traces and logs at runtime. In context of SOA-based (service-oriented architecture) IS, these logs contain details about sequences of process and service calls. Modern application monitoring and error tracking tools provide only rather straightforward log search and filtering functionality. However, ``clever'' analysis of the logs is highly useful, since it ...
Added: December 22, 2015
, , , in : Proceedings of the International Workshop CS&P'2013. Vol. 1032.: Bialystok : Bialystok University of Technology, 2013. P. 232-244.
Process mining is a relatively new field of computer science which deals with process discovery and analysis based on event logs. In this work we consider the problem of discovering workflow nets with cancellation regions from event logs. Cancellations occur in the majority of real-life event logs. In spite of huge amount of process mining ...
Added: September 30, 2013
, , , in : Preliminary Proceedings of the 9th Spring/Summer Young Researchers' Colloquium on Software Engineering (SYRCoSE 2015). : M. : [б.и.], 2015. P. 129-136.
Process models and graphs are commonly used for modeling and visualization of process models. They may represent sets of objects or events linked with each other in some way. Wide use of models in such languages engenders necessity of tools for creating and editing them. This paper describes the model editor which allows for dealing with ...
Added: June 11, 2015
, , , 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
, , , 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
Preliminary Proceedings of the 10th Spring /Summer Young Researchers’ Colloquium on Software Engineering
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
, , , , 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
, International Journal of Computer and Communication Engineering 2015 Vol. 4 No. 3 P. 166-179
Process mining is a research area dealing with, inter alia, the construction of models of various types from event logs. Fuzzy maps are an example of such models produced by different process mining tools, such as ProM and Disco. We proposed a new approach to mining fuzzy models which is based on logs representation in ...
Added: October 20, 2014
, , , Transactions on Petri Nets and Other Models of Concurrency 2013 Vol. 8 P. 180-202
Grading dozens of Petri net models manually is a tedious and error-prone task. In this paper, we present Grade/CPN, a tool supporting the grading of Colored Petri nets modeled in CPN Tools. The tool is extensible, configurable, and can check static and dynamic properties. It automatically handles tedious tasks like checking that good modeling practise ...
Added: October 14, 2013
, , , , in : Tools and Methods of Program Analysis. 5th International Conference, TMPA 2019, Tbilisi, Georgia, November 7–9, 2019, Revised Selected Papers. Vol. 1288: CCIS.: Springer, 2021. P. 88-100.
Process mining is emerging as an important discipline for the analysis, monitoring, and improvement of business and software processes. Methods from process mining are based on the use of formal models and event logs, i.e., describing respectively the expected and observed behavior of system processes. This approach can be leveraged by the software testing industry for ...
Added: October 19, 2020
An Approach to Business Processes Reengineering Based on Integration of the Process Mining Methods and Domain Specific Modeling Tools
, , , International Journal "Information Models and Analyses" 2015 Vol. 4 No. 2 P. 122-141
Abstract: An approach to reengineering business processes through the integration of the domain specific modeling platform and Process Mining tools is described. An analysis of the existing approaches to business processes improvement is presented and restrictions are shown. The Process Mining methods are related to business process reengineering stages and tasks. Comparative analysis of Process ...
Added: January 23, 2016
Proceedings of the 7th Spring/Summer Young Researchers’ Colloquium on Software Engineering, SYRCoSE 2013
Kazan : -, 2013
The issue contains the papers presented at the 7th Spring/Summer Young Researchers' Соllоquium оn Software Engineering (SYRCoSE 2013) held in Kazan, Russia on 30th and З1st оf Мay, 2013. Paper selection was based on a competitive peer review process being done by the program committee. Both regular and reseаrсh-in-рrogrеss papers were соnsidered ассeрtable for the ...
Added: June 8, 2013
M. : -, 2016
Proceedings of ISP RAS are a double-blind peer-reviewed journal publishing scientific articles in the areas of system programming, software engineering, and computer science. The journal's goal is to develop a respected network of knowledge in the mentioned above areas by publishing high quality articles on open access. The journal is intended for researchers, students, and ...
Added: September 14, 2016
, , et al., , in : Proceedings of the 8th ACM/IEEE International Symposium on Empirical Software Engineering and Measurement. : NY : ACM, 2014. Ch. 57. P. 1-8.
Modern information systems produce tremendous amounts of event data. The area of process mining deals with extracting knowledge from this data. Real-life processes can be eectively discovered, analyzed and optimized with the help of mature process mining techniques. There is a variety of process mining case studies and experience reports from such business areas as healthcare, public, transportation and education. Although ...
Added: August 29, 2014
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
, , , 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
, , 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
, , 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
, , , Automatic Control and Computer Sciences 2017 Vol. 51 No. 7 P. 709-723
Added: December 1, 2017