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Pre-Processing Network Messages of Trading Systems into Event Logs for Process Mining
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 the log-based analysis of trading platforms. In this light, this paper presents an approach to extract event logs for process mining from network messages of trading systems. In particular, these messages are Financial Information Exchange (FIX) protocol messages, which are related to trading sessions in order books.
In book
Vol. 1288: CCIS. , Springer, 2021.
Derezovskiy I., Shaimov N., Lomazova I. A. et al., Proceedings of the Institute for System Programming of the RAS 2024 Vol. 36 No. 4 P. 155–168
This paper proposes a method to visualize models of acyclic processes based on merging DirectlyFollows Graphs (DFG) and Sankey diagrams. DFG is a popular graphical model to visualize discrete process models, while Sankey diagrams are used to represent flows of any kind. Our approach, based on flow diagrams, allows us to highlight individual cases or ...
Added: October 3, 2024
A. K. Begicheva, I. A. Lomazova, R. A. Nesterov, Modeling and Analysis of Information Systems 2024 Vol. 31 No. 3 P. 294–315
Process mining is a field of computer science that deals with the discovery and analysis of process models based on automatically generated event logs. Currently, many companies are using this technology to optimize and improve their business processes. However, a discovered process model may be too detailed, sophisticated, and difficult for experts to understand. In ...
Added: September 14, 2024
Julio C. Carrasquel, Irina A. Lomazova, , in: 6th International Conference, TMPA 2021, Tomsk, Russia, November 25–27, 2021, Revised Selected Papers. Tools and Methods of Program AnalysisVol. 1559: CCIS .: Springer, 2024. P. 94–106.
Trading systems are software platforms that support the exchange of securities (e.g., company shares) between participants. In this paper, we present a method to search for deviations in trading systems by checking conformance between colored Petri nets and event logs. Colored Petri nets (CPNs) are an extension of Petri nets, a formalism for modeling of ...
Added: January 31, 2024
Lyadova L. N., Платунов А. И., Информатизация и связь 2024 № 1 С. 84–89
Summary. The goal of the project is developing tools for generating and preprocessing event logs for process analysis using Process Mining methods. The implementation approach is based on low-code principles. Users should be able to develop their own rules for generating and processing event logs, including additional attributes, – event series. It is based on ...
Added: January 19, 2024
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
Платунов А. И., Lyadova L. N., В кн.: ТЕХНОЛОГИИ РАЗРАБОТКИ ИНСТРУМЕНТАЛЬНЫХ СРЕДСТВ (ТРИС-2023): материалы конференции.: Таганрог: Издательство ЮФУ, 2023. С. 113–122.
The goal of the project is to develop tools for generating and processing event logs including additional attributes for analyzing processes with Process Mining tools. Implementation are based on low-code principles. This enables non-programmers to develop their own data processing rules for generating and preprocessing event logs with additional attributes. The core of the system ...
Added: December 16, 2023
Anton Platunov, Lyudmila Lyadova, Matta N. et al., , in: IC3K 2023: Proceedings of the 15th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management. Volume 2: KEOD, Rome - Italy, November 13 - 15, 2023Vol. 2: KEOD.: Lisbon: SciTePress, 2023. P. 323–330.
Existing process mining methods allow to investigate processes in different domains. Besides mandatory event attributes like as identifier, activity, and timestamp, additional event attributes can be present in data sources. The analysing dynamics of changing the values of additional attributes allows to get important information on the system. The applications must be developed by programmers ...
Added: November 22, 2023
A. A. Sherstyugina, R. A. Nesterov, Proceedings of the Institute for System Programming of the RAS 2023 Vol. 35 No. 3 P. 11–32
The structure of a process model directly discovered from an event log of a multi-agent system often does not reflect the behavior of individual agents and their interactions. We suggest analyzing the relations between events in an event log to localize actions executed by different agents and involved in their asynchronous interaction. Then, a process ...
Added: October 31, 2023
L.А. Rezunik, A.I. Perevoznikova, D.V. Eremina et al., Proceedings of the Institute for System Programming of the RAS 2023 Vol. 35 No. 3 P. 171–186
Enterprises often provide their services via a family of applications based on various platforms.
Applications in such a family can behave differently. Their development processes can differ as well. Moreover, modern development processes are often complex and sometimes vague. This can lead to bugs, defects, and unwanted discrepancies in applications. In this paper, we show that ...
Added: October 30, 2023
Zayakin Viktor, Lyadova Lyudmila, Smirnov M. 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
Shaimov N., Lomazova I. A., Mitsyuk A. A. et al., Моделирование и анализ информационных систем 2022 Т. 29 № 4 С. 286–314
Modern educational process involves the use of electronic educational environments. These are special information systems that are both a means for storing educational materials and a tool for conducting tests, collecting homework, keeping a grade book, and working together. Such environments produce a large amount of data containing the recorded behavior of students and teachers ...
Added: October 14, 2022
Nesterov R., Bernardinello L., Lomazova I. A. et al., Software and Systems Modeling 2023 Vol. 22 P. 351–375
A process model discovered from an event log of a multi-agent system often does not fully cover certain viewpoints of its architecture. We consider those concerned with the structure of a model explicitly reflecting agent behavior and interactions. The direct discovery from an event log of a multi-agent system may result in an unclear model ...
Added: May 5, 2022