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Mengze Hu

dblp:351/8640 · DBLP profile ↗
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2ranked-venue papers
0as first author
2since 2021 · last 2024
0009-0002-6316-5745ORCID · corroborated

Domains — the database's venue-derived domains; a paper can count in several

Software engineering, systems software and programming languages · 2 · 2 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Software engineering, system software, and programming languages
2 papers
Program analysis · 100%
Network and information security
1 paper
Systems and software security · 100%

Topics — the 6 heaviest of 6, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Program analysis
static analysis
1.422024
Detecting Element Accessing Bugs in C++ Sequence Containers · ASE 2024
Detecting Exception Handling Bugs in C++ Programs · ICSE 2023
Program analysis › static analysis
bug detection
0.812024
Detecting Element Accessing Bugs in C++ Sequence Containers · ASE 2024
Program analysis › control flow analysis
exception flow analysis
0.712023
Detecting Exception Handling Bugs in C++ Programs · ICSE 2023
Program analysis
symbolic execution
0.712023
Detecting Exception Handling Bugs in C++ Programs · ICSE 2023
Systems and software security › memory safety › memory error detection
buffer overflow detection
0.212024
Detecting Element Accessing Bugs in C++ Sequence Containers · ASE 2024
Systems and software security
memory safety
0.212024
Detecting Element Accessing Bugs in C++ Sequence Containers · ASE 2024

Methods — techniques the papers use, named apart from their topics

static analysis · 1.5symbolic execution · 0.7control flow graph · 0.7
YearPublicationVenuePosition
2024 Detecting Element Accessing Bugs in C++ Sequence Containers
abstract
Sequence Containers (SC) in the C++ Standard Template Library (STL), such as the vector, are widely used in large-scale projects for their maintainability and flexibility. However, accessing the elements in an SC is bug-prone, as such operations will not check their boundaries during compilation or execution, which can lead to memory errors, such as buffer overflow problems. And these bugs are difficult to detect with available static analyzers, since the size of SCs and the target of iterators cannot be precisely tracked without accurate analysis of the behavior of SCs and iterators.
Xutong Ma, Mengze Hu, Jun Yan 0009
ASE3
2023 Detecting Exception Handling Bugs in C++ Programs
abstract
Exception handling is a mechanism in modern programming languages. Studies have shown that the exception handling code is error-prone. However, there is still limited research on detecting exception handling bugs, especially for C++ programs. To tackle the issue, we try to precisely represent the exception control flow in C++ programs and propose an analysis method that makes use of the control flow to detect such bugs. More specifically, we first extend control flow graph by introducing the concepts of five different kinds of basic blocks, and then modify the classic symbolic execution framework by extending the program state to a quadruple and properly processing try, throw and catch statements. Based on the above techniques, we develop a static analysis tool on the top of Clang Static Analyzer to detect exception handling bugs. We run our tool on projects with high stars from GitHub and find 36 exception handling bugs in 8 projects, with a precision of 84%. We compare our tool with four state-of-the-art static analysis tools (Cppcheck, Clang Static Analyzer, Facebook Infer and IKOS) on projects from GitHub and handmade benchmarks. On the GitHub projects, other tools are not able to detect any exception handling bugs found by our tool. On the handmade benchmarks, our tool has a significant higher recall.
Hao Zhang 0008, Mengze Hu, Jun Yan 0009, Jian Zhang 0001, Zongyan Qiu
ICSE3