From 10-16 February 2025, the University of Tartu will host a themed week to celebrate the "Women in Science" day. During this week, we aim to highlight the work and achievements of our researchers and have invited them to answer three questions. This time, Alejandra Duque-Torres, Junior Research Fellow in Software Engineering shares her thoughts.
Please describe briefly your field of research
My research focuses on software testing and data analysis, with an emphasis on improving system reliability through metamorphic testing. I explore ways to classify metamorphic relations (MRs) using data-driven approaches. Additionally, I develop tools for analysing and ranking data, aiming to identify optimal system behaviours based on performance metrics. My work bridges the areas of test automation, signal analysis, and data exploration with the goal of improving testing frameworks and enhancing system reliability.
What do you especially like about being a scientist?
I appreciate the process of continuously learning, adapting, and iterating on ideas to improve results. The intellectual challenge of exploring new areas and pushing the boundaries of what we know motivates me to keep pursuing my research.
Why would you recommend that young people study IT and consider a career as a researcher?
I would recommend studying IT and considering a career as a researcher if you truly enjoy the process of discovery and problem-solving. Research requires passion, curiosity, and resilience because the journey is not always straightforward. There are challenges along the way – sometimes you spend months on a project, only to face setbacks, unexpected results, or the feeling that someone else has already explored the same ideas. But if you're drawn to exploring the unknown, developing new solutions, and contributing to the broader understanding of your field, research can be incredibly rewarding. It's a career for those who find fulfillment in tackling tough problems, learning continuously, and being part of a community that pushes the boundaries of knowledge.