Venera Arnaoudova | Assistant Professor at Washington State University

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, empirical software engineering, program comprehension, analysis of source code lexicon and documentation, 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)

Fall 2020 office hours: MWF 3:00-4:00pm via Zoom: https://wsu.zoom.us/j/96253521104?pwd=RU1JdlVCb0hsN0tpZUNtMWs2TVdzZz09
(Office hours have a waiting list which is FIFO. Please be patient and I will let you in when it is your turn.)

Fall 2020 teaching schedule:
CptS 321: MWF 4:10-5:00pm via Zoom
CptS 581 and CptS 582: online via Global Campus

LATEST NEWS:

2020/07/30: Congratulations Dave and Ziyi! Our paper DeepTC-Enhancer: Improving the Readability of Automatically Generated Tests was accepted and will be presented at ASE!
2020/03/02: Congratulations Dave, Sarah, and John! Our paper A Model to Detect Readability Improvements in Incremental Changes was accepted and will be presented at ICPC!
2020/02/02: Congratulations Dave and Sarah! Our tool paper VITALSE: Visualizing Eye Tracking and Biometric Data was accepted and will be presented at ICSE – Tool Demo Track!
2020/01/30: I am honored and extremely excited to be one of the recipients of the NSF CAREER Award this year! Learn more about it here: CAREER: Leveraging Objective Measures for Developers’ Cognitive Load to Identify and Quantify the Impact of Design, Coding, and Review Practices
2020/01/23: CONGRATULATIONS Sarah for receiving the Microsoft Research Ph.D. Fellowship! I cannot be more proud of you! Looking forward to a new exciting chapter and great collaborations! #GoCougs

2019/07/02: Congratulations Sarah, Dave, and Maggie! Our paper Measuring the Impact of Inconsistencies on Developers’ Cognitive Load during Bug Localization was accepted in EMSE!
2019/04/15: Congratulations Saghan for successfully defending your M.S. thesis!
2019/03/16: Congratulations Sarah, Dave, and Adnan! Our paper Improving Source Code Readability: Theory and Practice was accepted in ICPC! See you in Montreal
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!
2018/05/03: Very excited that our proposal was funded by the National Science Foundation! Learn more about it here: CRII: SHF: Quantifying the Impact of Poor Quality Lexicon on Developers’ Cognitive Load.
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).