User-Assisted Log Analysis for Quality Control of Distributed Fintech Applications

Itkin, Iosif; Gromova, Anna; Sitnikov, Anton; Legchikov, Dmitry; Tsymbalov, Evgenii; Yavorskiy, Rostislav; Novikov, Andrey; Rudakov, Kirill

doi:10.1109/aitest.2019.000-9

Cited by 9 publications

(4 citation statements)

References 27 publications

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“…Based on the IMF reports the GCC member countries (including six countries named Bahrain, Kuwait, Oman, Kingdom of Saudi Arabia (KSA), United Arab Emirates (UAE), and the State of Qatar) are listed in developing countries list. 121,122 After thoroughly analyzing the extant, it was concluded that some of the GCC member countries like Turkey, KSA, UAE, Bahrain and the State of Qatar have reported significant work and encouraged FinTech-based revolution 41 Fernando et al, 42 Mei et al, 43 Pantielieieva et al, 44 Seara et al, 45 Xiang et al, 46 Itkin et al, 47 Kalra, 48 Siek and Sutanto, 49 Ahmed and Kumar, 50 Arora and Kaur, 51 69 Carlini et al, 70 Chen et al, 71 Jiao et al, 72 Laidroo et al, 73 Lee et al, 74 Zhang et al, 75 Muthukannan et al, 31 Leong et al, 76 Sheng 77 Degerli, 10 Banna et al, 17 Lee and Shin, 78 Dranev et al, 79 Thakor, 80 Boot et al, 81 Wang et al 82 Taylor & Francis Davis et al, 83 Gozman et al, 84 Bernards, 85 Boratyn ´ska, 86 Demir et al, 87 Friedline et al, 88 Laidroo and Avarmaa, 89 Palladino, 90 Brown and Piroska, 91 Haddad and Hornuf 118 in their financial and banking sectors but still there is a lot of work to do to track the FinTech and meet with the digital revolution. A survey report…”

Section: Resultsmentioning

confidence: 99%

Utilizing the collective wisdom of fintech in the gcc region: A systematic mapping approach

Khan

Nazir

2022

Measurement and Control

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Globally, with the maturity of information technology, society is now in the information age, magnifying the significance of integrating innovative applications in different financial and other regulatory arenas. The emergence of financial technology (FinTech) based applications has transformed the traditional banking and regulatory systems and enhanced customer satisfaction by providing a balanced environment for protecting its customers from risky behavior or other potential disruptions. Besides these critical applications of FinTech in the financial industry, it is not developed in the Gulf Cooperation Council (GCC) region as in China, United States, and other developed countries. In order to bridge the gaps in the extant by identifying the critical factors involved, this research work presents a systematic analysis of the available literature reported during the period ranging from 2016 to 2021. This systematic mapping of the extant was performed by selecting five different research questions. The key objectives of this systematic research work are, (1) To identify the barriers that restrict the rise of FinTech in the GCC region, (2) Analyze the behavior of different communities regarding the adaptation of FinTech by evaluating the case studies reported, (3) the impacts of FinTech on different communities in the GCC region. (4) The findings of this research work will not only help the state development bodies by encouraging its stakeholders to use FinTech-driven applications in banking, markets, etc. but it will also help the people in maintaining long-term connection with the Ministries of Foreign Affairs, the Dutch regulators, Economic Affairs, the Dutch Central Bank (DNB), as well as with the Authority on Financial Markets (AFM), and (5) this study work will present new research directions for the research community to explore in the near future.

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Section: Resultsmentioning

confidence: 99%

Utilizing the collective wisdom of fintech in the gcc region: A systematic mapping approach

Khan

Nazir

2022

Measurement and Control

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“…Itkin et al [19] presented a practical presentation of identifying and categorizing, and cleaning settlement system failure logs. This study uses several data mining approaches, such as hierarchical agglomerative clustering with brute-force comparison and K-means with factorized tfidf word embedding, to form a log analysis framework.…”

Section: Related Workmentioning

confidence: 99%

Making Sense of Failure Logs in an Industrial DevOps Environment

Abbas¹,

Ali²,

Moghadam³

et al. 2023

Preprint

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Processing and reviewing nightly test execution failure logs for large industrial systems is a tedious activity. Furthermore, multiple failures might share one root/common cause during test execution sessions, and the review might therefore require redundant efforts. This paper presents the Log-Grouper approach for automated grouping of failure logs to aid root/common cause analysis and for enabling the processing of each log group as a batch. LogGrouper uses state-of-art natural language processing and clustering approaches to achieve meaningful log grouping. The approach is evaluated in an industrial setting in both a qualitative and quantitative manner. Results show that LogGrouper produces good quality groupings in terms of our two evaluation metrics (Silhouette Coefficient and Calinski-Harabasz Index) for clustering quality. The qualitative evaluation shows that experts perceive the groups as useful, and the groups are seen as an initial pointer for root cause analysis and failure assignment.

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“…Сейчас это достаточно развитая область, есть книги по верификационному мониторингу [150], несколько достаточно аккуратных обзоров [153][154][155]. Есть работы схожей тематики, которые относят себя к области пассивного тестирования [156,157] (passive testing). Они являются переносом техник формального тестирования протоколов, использующих автоматные модели, на случай мониторинга, т.е.…”

Section: верификационный мониторингunclassified

Survey of Software Dynamic Analysis Methods

Kuliamin

2023

Proceedings of ISP RAS

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The article presents a survey of software dynamic analysis methods. The main focus of the survey is on methods supported by tools, targeted on software security verification and applicable to system software. The survey examines in detail fuzzing and dynamic symbolic execution techniques. Dynamic taint data analysis is excluded due to difficulty of gathering technical details of its implementation. Review of fuzzing and dynamic symbolic execution is focused mostly on the techniques used in supporting tools, not on tools themselves, because their number exceeds 100 already. Also, the techniques of fuzzing counteraction are surveyed.

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User-Assisted Log Analysis for Quality Control of Distributed Fintech Applications

Cited by 9 publications

References 27 publications

Utilizing the collective wisdom of fintech in the gcc region: A systematic mapping approach

Utilizing the collective wisdom of fintech in the gcc region: A systematic mapping approach

Making Sense of Failure Logs in an Industrial DevOps Environment

Survey of Software Dynamic Analysis Methods

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