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Fuzzing, Symbolic Execution, and Expert Guidance for Better Testing

delete2024-01-01
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PRE
AI
İ
İsmet Burak Kadron *
Y
Yannic Noller
R
Rohan Padhye
T
Tevfik Bultan
C
Corina S. Păsăreanu
K
Koushik Sen
DOI:10.1109/MS.2023.3237981delete
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Abstract

Abstract

En 中文
Hybrid program analysis approaches that combine static and dynamic analysis have resulted in powerful tools for automated software testing. In this article, we argue for hybrid techniques that allow minimal but critical intervention from experts to better guide software testing.
Keywords:
Fuzzing
Software
Generators
Estimation
Memory management
Benchmark testing
Timing

Journal

IEEE Software cover
IEEE Software
IF:
3
Papers:
3.1K
Citations:
3.6K

Organization

C
Carnegie Mellon University
Scholars:
1.4W
Papers: 1.4W
Citations: 2.7W
U
University of California Santa Barbara
Scholars:
1.2W
Papers: 9.6K
Citations: 3.6W
University of California System cover
University of California System
Scholars:
37.5W
Papers: 33.7W
Citations: 6.6K
N
National University of Singapore
Scholars:
7.5W
Papers: 6.4W
Citations: 11.4W
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