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A digital twin model for grain enterprise financial shared service centers based on distributed deep learning and neural symbolic reasoning. [PDF]
Wei Y.
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Evaluating LLMs on Kazakhstan's mathematics exam for university admission. [PDF]
Kadyrov S +5 more
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DML-LLM Hybrid Architecture for Fault Detection and Diagnosis in Sensor-Rich Industrial Systems. [PDF]
Hu YS, Marandi S, Modarres M.
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Moving from theory to practice: Rethinking socio-economic health inequalities beyond social justice framing. [PDF]
Ulfah +6 more
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Symbolic execution and testing
Information and Software Technology, 1991Abstract Symbolic execution has several applications mainly in the validation of software. It may be used in the generation of test data, in program proving, and in program reduction. The paper is a tutorial on symbolic execution and how it may be used in software testing and in particular the testing of commercial data-processing (DP) software.
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Augmented dynamic symbolic execution
Proceedings of the 27th IEEE/ACM International Conference on Automated Software Engineering, 2012Dynamic symbolic execution (DSE) can efficiently explore all simple paths through a program, reliably determining whether there are any program crashes or violations of assertions or code contracts. However, if such automated oracles do not exist, the traditional approach is to present the developer a small and representative set of tests in order to ...
Konrad Jamrozik +3 more
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Probabilistic symbolic execution
Proceedings of the 2012 International Symposium on Software Testing and Analysis, 2012The continued development of efficient automated decision procedures has spurred the resurgence of research on symbolic execution over the past decade. Researchers have applied symbolic execution to a wide range of software analysis problems including: checking programs against contract specifications, inferring bounds on worst-case execution ...
Jaco Geldenhuys +2 more
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Proceedings of the 27th Annual ACM Symposium on Applied Computing, 2012
Recent advances in constraint solving technology and raw computation power have led to a substantial increase in the effectiveness of techniques based on symbolic execution for systematic bug finding. However, scaling symbolic execution remains a challenging problem.We present a novel approach to increase the efficiency of symbolic execution for ...
Junaid Haroon Siddiqui, Sarfraz Khurshid
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Recent advances in constraint solving technology and raw computation power have led to a substantial increase in the effectiveness of techniques based on symbolic execution for systematic bug finding. However, scaling symbolic execution remains a challenging problem.We present a novel approach to increase the efficiency of symbolic execution for ...
Junaid Haroon Siddiqui, Sarfraz Khurshid
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Proceedings of the 35th IEEE/ACM International Conference on Automated Software Engineering, 2020
Path explosion and constraint solving are two challenges to symbolic execution's scalability. Symbolic execution explores the program's path space with a searching strategy and invokes the underlying constraint solver in a black-box manner to check the feasibility of a path. Inside the constraint solver, another searching procedure is employed to prove
Yufeng Zhang +5 more
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Path explosion and constraint solving are two challenges to symbolic execution's scalability. Symbolic execution explores the program's path space with a searching strategy and invokes the underlying constraint solver in a black-box manner to check the feasibility of a path. Inside the constraint solver, another searching procedure is employed to prove
Yufeng Zhang +5 more
openaire +1 more source

