System Runs Analysis with Process Mining
Information systems (IS) produce numerous traces and logs at runtime. In the 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 lo...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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Yaroslavl State University
2015-12-01
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| Series: | Моделирование и анализ информационных систем |
| Subjects: | |
| Online Access: | https://www.mais-journal.ru/jour/article/view/297 |
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| _version_ | 1849338817357545472 |
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| author | S. A. Shershakov V. A. Rubin |
| author_facet | S. A. Shershakov V. A. Rubin |
| author_sort | S. A. Shershakov |
| collection | DOAJ |
| description | Information systems (IS) produce numerous traces and logs at runtime. In the 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 can provide valuable insights into the system architecture, interaction of business domains and services. Here we took runs event logs (trace data) of a big booking system and discovered architectural guidelines violations and common anti-patterns. We applied mature process mining techniques for discovery and analysis of these logs. The aims of process mining are to discover, analyze, and improve processes on the basis of IS behavior recorded as event logs. In several specific examples, we show successful applications of process mining to system runtime analysis and motivate further research in this area.The article is published in the authors’ wording. |
| format | Article |
| id | doaj-art-d1718e0fc071458985c5ce7b5cd895cf |
| institution | Kabale University |
| issn | 1818-1015 2313-5417 |
| language | English |
| publishDate | 2015-12-01 |
| publisher | Yaroslavl State University |
| record_format | Article |
| series | Моделирование и анализ информационных систем |
| spelling | doaj-art-d1718e0fc071458985c5ce7b5cd895cf2025-08-20T03:44:18ZengYaroslavl State UniversityМоделирование и анализ информационных систем1818-10152313-54172015-12-0122681883310.18255/1818-1015-2015-6-818-833275System Runs Analysis with Process MiningS. A. Shershakov0V. A. Rubin1National Research University Higher School of EconomicsDr. Rubin IT ConsultingInformation systems (IS) produce numerous traces and logs at runtime. In the 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 can provide valuable insights into the system architecture, interaction of business domains and services. Here we took runs event logs (trace data) of a big booking system and discovered architectural guidelines violations and common anti-patterns. We applied mature process mining techniques for discovery and analysis of these logs. The aims of process mining are to discover, analyze, and improve processes on the basis of IS behavior recorded as event logs. In several specific examples, we show successful applications of process mining to system runtime analysis and motivate further research in this area.The article is published in the authors’ wording.https://www.mais-journal.ru/jour/article/view/297process miningsoftware processsoftware runtime analysis |
| spellingShingle | S. A. Shershakov V. A. Rubin System Runs Analysis with Process Mining Моделирование и анализ информационных систем process mining software process software runtime analysis |
| title | System Runs Analysis with Process Mining |
| title_full | System Runs Analysis with Process Mining |
| title_fullStr | System Runs Analysis with Process Mining |
| title_full_unstemmed | System Runs Analysis with Process Mining |
| title_short | System Runs Analysis with Process Mining |
| title_sort | system runs analysis with process mining |
| topic | process mining software process software runtime analysis |
| url | https://www.mais-journal.ru/jour/article/view/297 |
| work_keys_str_mv | AT sashershakov systemrunsanalysiswithprocessmining AT varubin systemrunsanalysiswithprocessmining |