Elena Treshcheva
Program manager
Join my presentation on: AI Testing Explainability: Enhancing ‘AI for Testing’ with ‘AI for Mapping’
In the era of automation, we aim for extensive AI-driven coverage…
In the era of automation, we aim for extensive AI-driven coverage…
Elena Treshcheva is a Program Manager at Exactpro, an independent software testing services provider for financial market infrastructures. Elena is involved in project management and contributes to research and technical documentation on the latest Exactpro test methods, aligning the firm’s AI Testing approach with the unique regulatory environment and diverse technological landscape of the US market. She is also frequently involved in the firm’s educational initiatives on topics ranging from software testing to technical documentation and requirements analysis. Elena joined Exactpro in 2017 as a QA analyst focused on post-trade systems and market data processing. Prior to Exactpro, she worked in academia as an associate professor in general and computational linguistics and served as the head of a university research laboratory.
In the era of automation, we aim for extensive AI-driven coverage. AI approaches enable the generation of massive amounts of test data, which can be used to extract valuable insights into system behavior. However, these methods also introduce an explainability challenge: how can we help the human tester quickly map a test scenario to a specification area? how do we report coverage to stakeholders, connecting specifications to the vast arrays of test execution data?