Zobrazeno 1 - 10
of 11
pro vyhledávání: '"Iosif Itkin"'
Publikováno v:
2023 IEEE International Conference on Software Testing, Verification and Validation Workshops (ICSTW).
Publikováno v:
AITest
This research describes an attempt to build a model aimed to reproduce predictive ability of an experienced human tester and provide analytical insights beyond statistical dependencies. An important step in this direction is working out an approach t
Publikováno v:
Communications in Computer and Information Science ISBN: 9783030714710
One of the most significant challenges of defect reporting is how to compute and predict the testing metrics. Any software development project needs certain suitable testing metrics. Cluster analysis can be used to generate them. The interpretation o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::60c55fb6ee85bb94a64b4db822c8e07c
https://doi.org/10.1007/978-3-030-71472-7_14
https://doi.org/10.1007/978-3-030-71472-7_14
Autor:
Rostislav Yavorskiy, Iosif Itkin
Publikováno v:
Communications in Computer and Information Science ISBN: 9783030714710
This short paper presents an experience report on using model-based testing approach for stock exchange software. A simplified model of an order book is used for test suite generation. Then Z3 prover is applied to prove the completeness of the create
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::41b22ea59567f242dcb98f60ce83f232
https://doi.org/10.1007/978-3-030-71472-7_16
https://doi.org/10.1007/978-3-030-71472-7_16
Publikováno v:
QRS Companion
We propose a hybrid technique of black-box testing of virtual assistants (VAs) in the financial sector. The specifics of the highly regulated industry imposes numerous limitations on the testing process: GDPR and other data protection requirements, t
Autor:
Sergey Pavlov, Anna Gromova, Evgenii Tsymbalov, Murad Mamedov, Iosif Itkin, Alexander Libkov, Andrey Novikov
Publikováno v:
AITest
Running complex test suites against a financial transaction system produces huge amounts of responses, both expected and unexpected. In this article, we outline our experience of using ML for reliable automatic extraction of "that" unexpected respons
Publikováno v:
The Journal of Financial Market Infrastructures. 8
Emerging technologies, such as artificial intelligence (AI) and distributed ledger technology, are increasingly being adopted by financial institutions, promising functional efficiency and cost reduction to stakeholders and users. However, the struc
Publikováno v:
QRS Companion
The descriptive quality of bug reports is one of the essential parts of defect management. Sometimes they provide inadequate or incorrect data about software problems, which can lead to incomplete defect fixing or omission of serious defects. Therefo
Publikováno v:
QRS Companion
This is a vision paper on incorporating of embodied virtual agents into everyday operations of software testing team. An important property of intelligent virtual agents is their capability to acquire information from their environment as well as fro
Autor:
Rostislav Yavorskiy, Murad Mamedov, Vladimir Panarin, Alexey Zverev, Sergey Tishin, Elena Treshcheva, Kirill Zagorouiko, Iosif Itkin, Alyona Rybakova, Alyona Bulda, Anna Gromova
Publikováno v:
ICST
The paper presents an overview of a test automation framework aimed at end-to-end functional and non-functional testing of DLT-based hybrid financial software for post-trade. The proposed solution comprises the components designed for testing user-fa