Sergio Segura

I am a member of the Applied Software Engineering research group and a senior member of the SCORE Unit of Excellence, where I lead the research line on Software Engineering.

I conduct applied, tool-oriented software engineering research aimed at improving software quality and developer productivity. My current interests include software testing, AI-driven software engineering, trustworthy AI, and software engineering education. Feel free to contact me if you are interested in completing a Ph.D in any of these (or related) topics. For those beginning their research journey, I recommend reading Ten Golden Rules for High-Impact Research (and Well-being).

I regularly serve on organizing and program committees of top-tier conferences, and as a reviewer for leading software engineering journals. I particularly enjoy collaborating with industry through technical training, industrial PhD supervision, and technology transfer contracts. I hold several professional certifications, including ISTQB CTFL and ISTQB AI Tester.

News

Apr 01, 2026	Paper accepted in IEEE TSE: More Code, Less Understanding? On the Impact of AI Assistants on Developers’ Productivity and Code Ownership. Collaboration with Rosalia Tufano, Emanuela Guglielmi, Simone Scalabrino, Rocco Oliveto, and Gabriele Bavota.
Feb 15, 2026	Paper to appear in ICST 2026: Metamorphic Testing of Vision-Language Action-Enabled Robots. Collaboration with Pablo Valle, Prof. Aitor Arrieta and Prof. Shaukat Ali.
Feb 01, 2026	Paper accepted in Information and Software Technology: Meta-Fair: AI-assisted fairness testing of large language models. Collaboration with Prof. Aitor Arrieta.
Aug 01, 2025	Paper to appear in ASE 2025: SATORI: Static Test Oracle Generation for REST APIs.
Jul 15, 2025	Docentia Teaching Acreditation - Excellence Mention.

Blog

RESEARCH • 9 min read

Ten Golden Rules for High-Impact Research (and Well-being)

Insights and patterns from two decades in academia.

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