Black-Box Testing of Financial Virtual Assistants

Itkin I.; Treshcheva E.; Konnova L.; P. Braslavski; Yavorskiy R.

doi:10.1109/QRS-C51114.2020.00120

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Black-Box Testing of Financial Virtual Assistants

P. 684–685.

Itkin I., Treshcheva E., Konnova L., Braslavski P., Yavorskiy R.

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, the absence of interaction logs with real users, restricted access to internal data, etc. These limitations also decrease the applicability of a few VA testing methods that are widely described in the research literature. The approach suggested in this paper consists of semi-controlled interaction logging from the trained testers and subsequent augmenting the collected data for automated testing.

Language: English

DOI

Keywords: Software Testing

Publication based on the results of:

Development of Mathematical Models and Methods for Recommender Systems and Natural Language Processing (2020)

In book

2020 IEEE 20th International Conference on Software Quality, Reliability and Security Companion (QRS-C)

IEEE, 2020.

Method of Performance Analysis of Time-Critical Applications Using DB-Nets

Rigin A., Shershakov Sergey Andreevich, Proceedings of the Institute for System Programming of the RAS 2021 Vol. 33 No. 3 P. 109–122

These days, most of time-critical business processes are performed using computer technologies. As an example, one can consider financial processes including trading on stock exchanges powered by electronic communication protocols such as the Financial Information eXchange (FIX) Protocol. One of the main challenges emerging with such processes concerns maintaining the best possible performance since any ...

Added: September 8, 2021