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ASE 2021
Sun 14 - Sat 20 November 2021 Australia
Thu 18 Nov 2021 19:20 - 19:40 at Koala - Bugs II Chair(s): Annibale Panichella

Markdown compilers are widely used for translating plain Markdown text into formatted text, yet they suffer from performance bugs that cause performance degradation and resource exhaustion. Currently, there is little knowledge and understanding about these performance bugs in the wild. In this work, we first conduct a comprehensive study of known performance bugs in Markdown compilers. We identify that the ways Markdown compilers handle the language’s context-sensitive features are the dominant root cause of performance bugs. To detect unknown performance bugs, we develop MdPerfFuzz, a fuzzing framework with a syntax-tree based mutation strategy to efficiently generate test cases to manifest such bugs. It equips an execution trace similarity algorithm to de-duplicate the bug reports. With MdPerfFuzz, we successfully identified 216 new performance bugs in real-world Markdown compilers and applications. Our work demonstrates that the performance bugs are a common, severe, yet previously overlooked security problem.

Thu 18 Nov

Displayed time zone: Hobart change

19:00 - 20:00
Bugs IIResearch Papers / NIER track / Tool Demonstrations at Koala
Chair(s): Annibale Panichella Delft University of Technology
19:00
20m
Talk
Detecting Memory-Related Bugs by Tracking Heap Memory Management of C++ Smart Pointers
Research Papers
Xutong Ma State Key Laboratory of Computer Science, Institute of Software, Chinese Academy of Sciences, Beijing, China, Jiwei Yan Institute of Software at Chinese Academy of Sciences, China, Wei Wang State Key Laboratory of Computer Science, Institute of Software, Chinese Academy of Sciences, Beijing, China, Jun Yan Institute of Software at Chinese Academy of Sciences, China, Jian Zhang Institute of Software at Chinese Academy of Sciences, China, Zongyan Qiu Peking University
19:20
20m
Talk
Understanding and Detecting Performance Bugs in Markdown Compilers
Research Papers
Penghui Li The Chinese University of Hong Kong, Yinxi Liu The Chinese University of Hong Kong, Wei Meng Chinese University of Hong Kong
Pre-print
19:40
10m
Talk
Bugs4Q: A Benchmark of Real Bugs for Quantum Programs
NIER track
Pengzhan Zhao Kyushu University, Jianjun Zhao Kyushu University, Zhongtao Miao Kyushu University, Shuhan Lan Kyushu University
19:50
5m
Talk
Muskit: A Mutation Analysis Tool for Quantum Software Testing
Tool Demonstrations
Eñaut Mendiluze Simula Research Laboratory, Norway, Shaukat Ali Simula Research Laboratory, Norway, Paolo Arcaini National Institute of Informatics , Tao Yue Nanjing University of Aeronautics and Astronautics
19:55
5m
Talk
JTDog: a Gradle Plugin for Dynamic Test Smell Detection
Tool Demonstrations
Masayuki Taniguchi Osaka University, Shinsuke Matsumoto Osaka University, Shinji Kusumoto Osaka University