VARSE 2022

Introduction

News: We are honored to announce that Prof. Franziska Roesner from University of Washington will give a keynote presentation in our workshop!!! Franziska Roesner is well known for her pioneer research work on security and privacy of Augmented Reality Systems.

News: We have sent notifications to the authors, four research papers are accepted this year. Congratulations to all the authors!!!

This workshop aims to encourage collaboration and knowledge sharing in the areas of virtual and augmented reality and software engineering, as well as to nurture a research community. VR (Virtual Reality) and AR (Augmented Reality) are emerging techniques with promising applications. Major IT companies such as Microsoft, Google, and Apple all have essential investment in the area, and Facebook even have changed its name to Meta to focus on metaverse, a concept technically largely depends on virtual reality. As VR/AR platforms such as Unity, Google ARCore, Apple ARKit, and Meta for Developers are getting more and more popular, thousands of apps have been developed to explore various VR/AR applications such as gaming, education, remote communication, computer-aided operation, etc. VR/AR software development has a lot of special concerns, such as graphics design and performance optimization, management of 3D assets, testing constraints in physical world (for AR apps), and additional privacy protection (e.g., tackling leak of head and body movement information from VR/AR devices). Meanwhile, VR/AR can be adopted as an important technique to support software engineering practices that are not possible in traditional 2D interfaces. For example, 3D visualization of code and project work space may largely enhance software productivity. In this workshop, we call for talks and papers from both industry and academia to mutually advance the state of the art and practice in this area, and we expect the workshop to serve as a platform for the industry side to introduce the problems and challenges they face, as well as for the academia side to introduce their solutions and findings to the industry for broader impact.

Areas of interest include but are not restricted to:

Requirement analysis and specification of VR/AR software

Modeling and abstraction of VR/AR software

Testing and maintenance of VR/AR software

Performance measurement and optimization of VR/AR software

Program analysis and verification of VR/AR software

Security and privacy concerns in VR/AR software

Mining VR/AR software and software repositories and creation of dataset

Empirical studies on VR/AR software development process and products

VR/AR-based IDEs and coding tools

User studies of VR/AR-based software development techniques

VR/AR-based software visualization

Submission details

Submissions must conform to the ASE 2022 formatting and submission instructions: All submissions must be in PDF format and conform, at time of submission, to the ACM Proceedings Template LaTEX users must use the \documentclass[sigconf,review,anonymous]{acmart} option. The page limit of the submission is four pages with one additional page for references.

All the submissions must not have been published elsewhere or under review elsewhere when being considered for VARSE 2022. Similar to ASE, VARSE will employ a double-anonymous review process. Thus, no submission may reveal its authors’ identities. The authors must make every effort to honor the double-anonymous review process.

Please submit your papers through the following EasyChair link:

For accepted papers (except for talk abstracts), authors are required to prepare their final submissions for the workshop proceedings based on the suggestions provided by reviewers, and one author is expected to attend the workshop and present the paper.

Technical Program Committee

Wei Gao, University of Pittsburg, USA

Tian Guo, Worcester Polytechnic Institute, USA

Rakibul Hasan, Arizona State University, USA

In Kee Kim, University of Georgia, USA

Zeqi Lai, Tsinghua University, China

Yepang Liu, Southern University of Science and Technology, China

Rohit Mehra, Accenture Labs, India

Na Meng, Virginia Tech, USA

Fabio Petrillo, École de technologie supérieure (ÉTS), Canada

Ruoyu Wang, Arizona State University, USA

Program

Session 1: Research papers (8:30 - 10:00, Oct.14)

8:30-8:40 Opening
Workshop Chairs
8:40-9:00 A Study of User Privacy in Android Mobile AR Apps
Xiaoyi Yang, Rochester Institute of Technology, USA
Xueling Zhang, Rochester Institute of Technology, USA
9:00-9:20 Towards Generating Labeled Property Graphs for Comprehending C#-based Software Projects
David Heidrich, German Aerospace Center (DLR), Germany
Andreas Schreiber, German Aerospace Center (DLR)
Sebastian Oberdörfer, University of Würzburg, Germany
9:20-9:40 DyTRec: A Dynamic Testing Recommendation tool for Virtual Reality Software
Xue Qin, Villanova University, USA
Foyzul Hassan, University of Michigan - Dearborn, USA
9:40-10:00 A Role Based Model Template for Specifying Virtual Reality Software
Sai Anirudh Karre, SERC, IIIT Hyderabad, India
Vivek Pareek, SERC, IIIT Hyderabad, India
Raghav Mittal, SERC, IIIT Hyderabad, India
Raghu Reddy Y., SERC, IIIT Hyderabad, India

Session 2

10:30-11:50 Keynote: Security, Privacy, and Safety for AR/VR: The Next 10 Years
Franzika Roesner, University of Washington
Abstract: Augmented, virtual, and mixed reality technologies are at the cusp of commercial viability. Though these technologies bring great potential benefits, they also raise new and serious computer security and privacy risks. For example, risks may arise for both AR/VR/MR input (due to the need for applications to continuously receive and process sensor data, posing privacy risks to users and bystanders) and for AR/VR/MR output (in which application may, for instance, overlay distracting content on a user's view of the real world). How should we design AR/VR/MR systems to mitigate these risks, enabling exciting future use cases while protecting the security, privacy, and safety of end users? I will discuss our lab's past 10 years on research on this topic, and present challenges for the next 10 years.
Bio: Franziska (Franzi) Roesner is an Associate Professor in the Paul G. Allen School of Computer Science & Engineering at the University of Washington, where she co-directs the Security and Privacy Research Lab. Her research focuses broadly on computer security and privacy for end users of existing and emerging technologies. Her work has studied topics including online tracking and advertising, security and privacy for sensitive user groups, security and privacy in emerging augmented reality (AR) and IoT platforms, and online mis/disinformation. She is the recipient of a Google Research Scholar Award, a Consumer Reports Digital Lab Fellowship, an MIT Technology Review "Innovators Under 35" Award, an Emerging Leader Alumni Award from the University of Texas at Austin, and an NSF CAREER Award. She serves on the USENIX Security and USENIX Enigma Steering Committees. For more information on her work related to AR, please see: https://ar-sec.cs.washington.edu.
11:50-12:00 Closing
Workshop Chairs

VARSE 2022

The First International Workshop on Virtual and Augmented Reality Software Engineering

Ann Arbor, Michigan, United States