Gül Calikli

Registered user since Tue 7 Jul 2020

Name:Gül Calikli
Bio:

I am a Lecturer (Assistant Professor) in Software Engineering at the School of Computing Science, University of Glasgow, United Kingdom.

My research interests include human aspects in software engineering, empirical software engineering and applications of artificial intelligence on building recommendation systems for software engineering. Regarding human aspects, I am mainly interested in cognitive biases. During my PhD, I focussed on confirmation bias, which a tendency of humans to find evidence supporting their hypotheses rather than those refuting them. Here is a talk I gave at Microsoft Research summarising my work on confirmation bias in 2012.

Previously, I worked as a postdoc fellow at The Open University, United Kingdom, and Ryerson University, Canada, and later as a lecturer (biträdande universitetslektor) at Chalmers | University of Gothenburg, Sweden. I am a member of the IEEE Computer Society and ACM. I am also the recipient Best Paper Award at ESEM2013 (Industry Tack) and Chalmers Area of Advance SEED Funding in 2018, and one of the recipients of ACM SIGSOFT Distinguished Artifact Award at ICSE 2020 and ACM Distinguished Paper Award at ICSE 2021. Before joining University of Glasgow, I was a senior researcher at the Department of Informatics, University of Zurich (UZH), Switzerland.

Country:United Kingdom
Affiliation:University of Glasgow
Research interests:Human aspects in software engineering, cognitive science

Contributions

EASE 2022 Committee Member in Program Committee within the Vision and Emerging Results Track-track
ASE 2022 Committee Member in Program Committee within the Research Papers-track
Committee Member in Program Committee within the Tool Demonstrations-track
ICPC 2022 Committee Member in Program Committee within the Research-track
ASE 2021 Committee Member in Program Committee within the Tool Demonstrations-track
ICSE 2022 Author of Less is More: Supporting Developers in Vulnerability Detection during Code Review within the Technical Track-track
ICSE 2021 Author of Data and Materials for: Why don't Developers Detect Improper Input Validation? '; DROP TABLE Papers; -- within the AE - Artifact Evaluation-track
Author of Why don’t Developers Detect Improper Input Validation?'; DROP TABLE Papers; -- within the Technical Track-track
ICSE 2020 Author of Primers or Reminders? The Effects of Existing Review Comments on Code Review within the Technical Papers-track