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Process Mining Can Be Applied to Software Too!
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 e ectively 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 nowadays, these techniques are mostly used for discovering business processes. However, process mining can be applied to software too. In the area of software design and development, process models and user interface workflows underlie the functional speci cation of almost every substantial software system. When the system is utilized, user interaction with the system can be recorded in event logs. After applying process mining methods to logs, we can derive process and user interface flow models. These models provide insights regarding the real usage of the software and can enable usability improvements and software redesign. In this industrial paper we present several process mining examples of di erent productive software systems used in the touristic domain. With the help of these examples we demonstrate that process mining enables new forms of software analysis. The user interaction with almost every software system can be mined in order to improve the software and to monitor and measure its real usage.
Article No. 57
Keywords: process miningпроектирование пользовательских интерфейсовuser interface designИзвлечение и анализ процессовSoftware Process MiningClient Technology
Publication based on the results of:
Evgenii Stepanov, Alexey Mitsyuk, International Journal of Data Science and Analytics 2026 Vol. 22 Article 6
Software systems are monitored constantly, as it is the only way to ensure their well-functioning. There are several approaches for software monitoring: starting with debugging and profiling of simple programs, and ending with large distributed systems which are monitored by a complex logging infrastructure. As a result of such a monitoring, aggregated numbers (i.e., the ...
Added: February 16, 2026
Evgenii V. Stepanov, Mitsyuk A. A., , in: 26th International Conference, DAMDID/RCDL 2024, Nizhny Novgorod, Russia, October 23–25, 2024, Revised Selected Papers. Data Analytics and Management in Data Intensive Domains. (CCIS, volume 2641).: Springer, 2026. P. 279–293.
Modern software produces a lot of events that can be analyzed using process mining techniques. The first step in any process mining pipeline is the collection of event logs. Then, those event logs need to be stored persistently on the disk to be transferred via local and global networks. The problem is that software event ...
Added: October 20, 2025
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
Evgenii V. Stepanov, Mitsyuk A. A., Automated Software Engineering 2024 Vol. 31 No. 2 Article 41
Modern runtime environments, standard libraries, and other frameworks provide many ways of diagnostics for software engineers. One form of such diagnostics is logging low-level events which characterize internal processes during program execution like garbage collection, assembly loading, just-in-time compilation, etc. Low-level program execution event logs contain a large number of events and event classes, which ...
Added: May 21, 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
Babkin E., Ulitin B., Switzerland: Springer, 2023.
This book focuses on the study of ontology-based models and methods used for the implementation of the evolution of external domain-specific languages (DSL), which are mainly intended for modelling the structure of human-machine interfaces. The primary goal of the approach is to increase the efficiency of support processes during the life cycle of general-purpose software ...
Added: November 25, 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
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
Nikitina V., Panfilov Peter, , in: Digitalization of Society, Economics and Management: A Digital Strategy Based on Post-pandemic DevelopmentsIssue 53.: Springer, 2022. Ch. 13 P. 173–185.
Added: April 22, 2022
Usanin A., Zimin I., Elena Zamyatina, , in: Analysis of Images, Social Networks and Texts: 9th International Conference, AIST 2020, Skolkovo, Moscow, Russia, October 15–16, 2020, Revised Selected PapersVol. 12602.: Springer, 2021. P. 303–315.
The paper presents simulation tools for investigation not only the structural characteristics of social networks in order to study information dissem-ination strategies, but also the dynamic characteristics of this process. A feature of this software system is not only the ability to work with virtual social networks, but also with data from real networks. To ...
Added: October 30, 2021
Viacheslav Lanin, Lyudmila Lyadova, Elena Zamyatina et al., , in: Proceedings of the 13th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge ManagementVol. 2: KEOD.: Lisbon: SciTePress, 2021. P. 234–239.
Added: October 2, 2021
Shershakov S. A., Automatic Control and Computer Sciences (Springer) 2021 Vol. 55 No. 7 P. 847–865
Process-Aware Information Systems (PAIS) is a special class of the IS intended for the support the tasks of initialization, end-to-end management and completion of business processes. During the operation such systems accumulate a large number of data that are recorded in the form of the event logs. Event logs are a valuable source of knowledge ...
Added: September 8, 2021
Carrasquel Gamez J. C., Mecheraoui K., Modeling and Analysis of Information Systems 2021 Vol. 28 No. 2 P. 146–168
Conformance checking methods diagnose to which extent a real system, whose behavior is recorded in an event log, complies with its specification model, e.g., a Petri net. Nonetheless, the majority of these methods focus on checking isolated process instances, neglecting interaction between instances in a system. Addressing this limitation, a series of object-centric approaches have ...
Added: June 21, 2021
Воронова А. П., Zakhodiakin G., Логистика и управление цепями поставок 2020 № 6(101) С. 26–36
Currently businesses are constantly adapting their business processes to the ever-changing market conditions. This involves a continuous monitoring and improvement of business processes. Process Mining is a useful approach to automated reconstruction of business process models from event logs collected from company’s information systems, as well as to detecting deviations from the assumed process model ...
Added: March 16, 2021