Tue 5 Dec 2023 15:00 - 15:07 at Golden Gate C1 - Testing II Chair(s): Brittany Johnson

Android fragmentation refers to the vast variety of Android devices and operating system versions. These factors make it impossible to test an app on every supported device, resulting in a bunch of compatibility issues and thereby leading to poor user experiences. To mitigate this, our fellow researchers have proposed a number of works that automatically detect compatibility issues. However, the current state-of-the-art techniques can only be used to detect specific types of compatibility issues (i.e., compatibility issues caused by API signature evolution), i.e., many other essential categories of compatibility issues are still unknown. For instance, customised OS versions on real devices and semantic OS modifications could result in severe compatibility issues that are difficult to detect statically. In order to cover this research gap and facilitate the prospect of taming Android fragmentation through crowdsourced efforts, we propose LazyCow, a lightweight crowdsourced testing tool. Experimental results involving thousands of test cases on real Android devices demonstrate that LazyCow is effective at autonomously identifying and validating API-induced compatibility issues. The source code of both client side1 and server side 2 are all made publicly available in our artifact package. A demo video of our tool is available at https://www.youtube.com/watch?v=_xzWv_mo5xQ.

Tue 5 Dec

Displayed time zone: Pacific Time (US & Canada) change

14:00 - 15:30
14:00
15m
Talk
Statfier: Automated Testing of Static Analyzers via Semantic-preserving Program Transformations
Research Papers
Huaien Zhang Southern University of Science and Technology, The Hong Kong Polytechnic University, Yu Pei Hong Kong Polytechnic University, Junjie Chen Tianjin University, Shin Hwei Tan Concordia University
Media Attached
14:15
15m
Talk
Towards Efficient Record and Replay: A Case Study in WeChat
Industry Papers
Sidong Feng Monash University, Haochuan Lu Tencent, Ting Xiong Tencent Inc., Yuetang Deng Tencent Inc., Chunyang Chen Monash University
DOI Media Attached
14:30
15m
Talk
Contextual Predictive Mutation Testing
Research Papers
Kush Jain Carnegie Mellon University, Uri Alon Carnegie Mellon University, Alex Groce Northern Arizona University, Claire Le Goues Carnegie Mellon University
Media Attached
14:45
15m
Talk
Towards Automated Software Security Testing: Augmenting Penetration Testing through LLMs
Ideas, Visions and Reflections
Media Attached
15:00
7m
Talk
LazyCow: A Lightweight Crowdsourced Testing Tool for Taming Android Fragmentation
Demonstrations
Xiaoyu Sun Australian National University, Australia, Xiao Chen Monash University, Yonghui Liu Monash University, John Grundy Monash University, Li Li Beihang University
Media Attached
15:08
7m
Talk
Rotten Green Tests in Google Test
Industry Papers
DOI Media Attached
15:15
15m
Talk
MuAkka: Mutation Testing for Actor Concurrency in Akka Using Real-World Bugs
Research Papers
Mohsen Moradi Moghadam Oakland University, Mehdi Bagherzadeh Oakland University, Raffi Khatchadourian City University of New York (CUNY) Hunter College, Hamid Bagheri University of Nebraska-Lincoln
Pre-print Media Attached