Understanding and Detecting Performance Bugs in Markdown Compilers
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 NovDisplayed 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 20mTalk | 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 20mTalk | 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 10mTalk | 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 5mTalk | Muskit: A Mutation Analysis Tool for Quantum Software Testing Tool Demonstrations Eñaut Mendiluze Usandizaga 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 5mTalk | JTDog: a Gradle Plugin for Dynamic Test Smell Detection Tool Demonstrations Masayuki Taniguchi Osaka University, Shinsuke Matsumoto Osaka University, Shinji Kusumoto Osaka University |