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Minghui Quan

dblp:190/1194 · DBLP profile ↗
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1ranked-venue papers
1as first author
0since 2021 · last 2016
—ORCID · unresolved

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

Software engineering, systems software and programming languages · 1 · 1 first-author

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
1 paper
Program analysis · 100%

Topics — the 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Program analysis › symbolic execution
path exploration
0.212016
Hotspot symbolic execution of floating-point programs · SIGSOFT FSE 2016
Program analysis
symbolic execution
0.212016
Hotspot symbolic execution of floating-point programs · SIGSOFT FSE 2016

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

equivalence class partitioning · 0.2
YearPublicationVenuePosition
2016 Hotspot symbolic execution of floating-point programs
abstract
This paper presents hotspot symbolic execution (HSE) to scale the symbolic execution of floating-point programs. The essential idea of HSE is to (1) explore the paths of some functions (called hotspot functions) in priority, and (2) divide the paths of a hotspot function into different equivalence classes, and explore as fewer path as possible inside the function while ensuring the coverage of all the classes. We have implemented HSE on KLEE and carried out extensive experiments on all 5528 functions in GNU Scientific Library (GSL). The experimental results demonstrate the effectiveness and efficiency of HSE. Compared with the baseline, HSE detects >12 times of exceptions in 30 minutes.
Minghui Quan
SIGSOFT FSE1