Dr. Eric Eide (University of Utah)

Artifact evaluation is now a widespread feature of conferences in many areas of computer science. Many conference communities now have substantial experience with artifact evaluation, and it is time to step back and reflect. What has been accomplished, what is working, what is not, and what are possible next steps to be taken? In this talk I will discuss the practice of artifact evaluation and look forward to ways in which current practices might evolve to be more effective and/or valuable.

Speaker's biography

Dr. Eric Eide is a Research Associate Professor and a Co-director of the Flux Research Group in the School of Computing at the University of Utah in Salt Lake City, Utah, USA. His research focuses on the engineering of trustworthy systems software: this includes activities toward improving the correctness, testing, resilience, and security of systems software, as well as activities toward improving the rigor of experimental computer science. He co-chaired the Artifact Evaluation Committees for the PLDI 2014, PLDI 2015, and OSDI 2020 conferences, and he is the current and inaugural chair of the Artifact Evaluation Board for the Journal of Systems Research. As a Principal Investigator of the SEARCCH project, he is working to establish a novel web portal to improve the discoverability and reuse of experiment artifacts related to cybersecurity.

View More Papers

The Taming of the Stack: Isolating Stack Data from...

Kaiming Huang (Penn State University), Yongzhe Huang (Penn State University), Mathias Payer (EPFL), Zhiyun Qian (UC Riverside), Jack Sampson (Penn State University), Gang Tan (Penn State University), Trent Jaeger (Penn State University)

Read More

WIP: Infrastructure-Aided Defense for Autonomous Driving Systems: Opportunities and...

Yunpeng Luo (UC Irvine), Ningfei Wang (UC Irvine), Bo Yu (PerceptIn), Shaoshan Liu (PerceptIn) and Qi Alfred Chen (UC Irvine)

Read More

Detecting DolphinAttacks Based on Microphone Array

Guoming Zhang, Xiaoyu Ji (Zhejiang University)

Read More

Progressive Scrutiny: Incremental Detection of UBI bugs in the...

Yizhuo Zhai (University of California, Riverside), Yu Hao (University of California, Riverside), Zheng Zhang (University of California, Riverside), Weiteng Chen (University of California, Riverside), Guoren Li (University of California, Riverside), Zhiyun Qian (University of California, Riverside), Chengyu Song (University of California, Riverside), Manu Sridharan (University of California, Riverside), Srikanth V. Krishnamurthy (University of California, Riverside),…

Read More