I am Assistant Professor at Washington State University in the School of Electrical Engineering and Computer Science (EECS). Previously, I had the opportunity to work as a postdoctoral research fellow with Dr. Andrian Marcus at The University of Texas at Dallas. I received my Ph.D. degree in Computer Engineering in 2014 from Polytechnique Montréal (Canada) under the supervision of Dr. Giuliano Antoniol and Dr. Yann-Gaël Guéhéneuc. In 2008, I received my master degree in Computer Science from Concordia University (Montréal, Canada). In 2006, I received my bachelor degree in Computer Engineering, Electrical Engineering, and Automation from Polytech’Lille (Lille, France).
My research interest is in the domain of software engineering and particularly, software evolution, analysis of source code lexicon and documentation, empirical software engineering, refactoring, patterns, and anti-patterns.
Contact:
School of Electrical Engineering and Computer Science
Washington State University
355 NE Spokane St.
PO Box 642752
Pullman, WA, 99164-2752 U.S.A.
Phone: (509) 335-1360
Fax: (509) 335-3818
E-mail: Venera.Arnaoudova@wsu.edu
Office: EME 127 (send an email for an appointment)
LATEST NEWS:
- 2018/10/01: Congratulations Sarah! She will be presenting at ROSE (co-located with ESEC/FSE)!
- 2018/09/01: Congratulations Sarah! She will be presenting her research at the Doctoral Symposium at ESEC/FSE!
- 2018/05/27: Our paper “The Effect of Poor Source Code Lexicon and Readability on Developers’ Cognitive Load” won the Distinguished Paper Award at ICPC 2018. Congratulations Sarah and Maggie!
- 2018/04/18: Congratulations to Maggie for successfully defending her MS thesis!
- 2018/03/03: Congratulations to Sarah and Maggie for our paper “The Effect of Poor Source Code Lexicon and Readability on Developers’ Cognitive Load” (ICPC’18).
- 2018/03/02: Congratulations to Maggie, Sarah, and Mike for our paper “Automatic Classification of Software Artifacts in Open-Source Applications” (MSR’18).
- 2018/02/10: Congratulations to Sarah for our paper “Keep It Simple: Is Deep Learning Good for Linguistic Smell Detection?” (SANER’18).
- 2018/02/01: Consider submitting to the Tool Demo Track of ICSME’18 (Abstract: May 20th, 2018; Paper: May 27th, 2018).
