White papers

The greatest interest to artificial intelligence (AI) methods and technologies has emerged over the last years in many areas of human activities directly or indirectly related to IT. Predictably, these areas include software testing and QA. For the professionals aiming at working in the software testing area and applying AI to solving their tasks on a daily basis, a new exam has now emerged. It is called AI and Software Testing. The certification is provided by the Alliance for Qualification (A4Q).

An October 2019 survey by BoE and FCA found that ML in financial organizations has already passed an initial development phase, and the usage of live ML applications is about to dramatically increase over the next three years. Artificial Intelligence systems are used in market surveillance, they are providing intellectual analysis of news feeds, and they are an important part of the conversational agents facing users and helping them with their business needs from identity verification to trading and portfolio management. How to ensure that an AI-powered system is up to its task? And what would that mean from the software testing perspective?

As an R3 technology partner and a member of Hyperledger, Exactpro is familiar with the software testing challenges of a DLT-based post-trade infrastructure. To meet the needs of a growing number of companies widely using blockchain technologies to automate their business services, Exactpro specialists have performed a DLT post-trade case study based on the open source Corda and Hyperledger technology.

A white paper available for downloading below contains a review of the latest technologies, tools and test approaches Exactpro uses in its projects.

Anna Gromova
Data Scientist, Exactpro

Maxim Rudovsky,
CTO, Exactpro