ASE 2024
Sun 27 October - Fri 1 November 2024 Sacramento, California, United States

This program is tentative and subject to change.

Wed 30 Oct 2024 15:45 - 16:00 at Magnoila - Fuzzing 2 Chair(s): Marcel Böhme

Microservices is now becoming a promising architecture to build large-scale web services in industry. Due to the high complexity of enterprise microservices, industry has an urgent need to have a solution to enable automated testing of such systems. EvoMaster is an open-source fuzzer, equipped with the state-of-the-art techniques for supporting automated system-level testing of Web APIs. It has been assessed as the most performant tool in two recent empirical studies in terms of line coverage and fault detection. In this paper, we carried out an empirical experiment to investigate how to better apply the state-of-the-art academic prototype (i.e., EvoMaster) in industrial context. We extended the tool to handle seeding of existing industrial tests, and mocking of external services with their data handled as part of the input fuzzing. We studied two configurations of EvoMaster, using two time budgets, on 40 enterprise RPC-based APIs (involving 5.6 million lines of code for their core business logic) at Meituan Results show that, compared to existing practice of manual system-level testing and tests produced by record and replay of online traffic, EvoMaster demonstrates clear additional benefits. EvoMaster with the best configuration is capable of covering up to 32.4% line coverage, covering more than 10% line coverage on 36 out of 40 (90%) case studies, and identifying on average 3520 potential faults in these 40 APIs. In addition, we also identified and discussed important challenges in fuzzing enterprise microservices that must be addressed in the future.

This program is tentative and subject to change.

Wed 30 Oct

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

15:30 - 16:30
Fuzzing 2Industry Showcase / NIER Track / Research Papers at Magnoila
Chair(s): Marcel Böhme MPI-SP, Bochum
15:30
15m
Talk
Differential Fuzzing for Data Distribution Service Programs with Dynamic Configuration
Research Papers
Dohyun Ryu The Pennsylvania State University, Giyeol Kim The Pennsylvania State University, Daeun Lee Pusan National University, Seongjin Kim The Pennsylvania State University, Seungjin Bae The Pennsylvania State University, Junghwan Rhee University of Central Oklahoma, Taegyu Kim The Pennsylvania State University
15:45
15m
Talk
Seeding and Mocking in White-Box Fuzzing Enterprise RPC APIs: An Industrial Case Study
Industry Showcase
Man Zhang Beihang University, China, Andrea Arcuri Kristiania University College and Oslo Metropolitan University, Piyun Teng Meituan, kaiming.xue Meituan, Wenhao Wang Meituan
16:00
15m
Talk
Industry Practice of Directed Kernel Fuzzing for Open-source Linux Distribution
Industry Showcase
Heyuan Shi Central South University, Shijun chen Central South University, Runzhe Wang Alibaba Group, Yuhan Chen Central South Sniversity, Weibo Zhang Central South University, Qiang Zhang Hunan University, Yuheng Shen Tsinghua University, Xiaohai Shi Alibaba Group, Chao Hu Central South University, Yu Jiang Tsinghua University
16:15
10m
Talk
Visualizing and Understanding the Internals of Fuzzing
NIER Track
Sriteja Kummita Fraunhofer Institute for Mechatronic Systems Design (Fraunhofer IEM), Zenong Zhang The University of Texas - Dallas, Eric Bodden Heinz Nixdorf Institut, Paderborn University and Fraunhofer IEM, Shiyi Wei University of Texas at Dallas
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