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Semi-Proving: An Integrated Method for Program Proving, Testing, and Debugging
by
Zhi Quan Zhou
, Tse, T H
, Tsong Yueh Chen
in
Analysis
/ Australia Council
/ Automatic testing
/ Automation
/ Built-in self-test
/ Communications technology
/ Computer science
/ Costs
/ Debugging
/ Digital Object Identifier
/ Extrapolation
/ Failure
/ Fault tolerance
/ Metamorphic
/ Partial differential equations
/ Software debugging
/ Software engineering
/ Software testing
/ Software/program verification
/ Studies
/ symbolic execution
/ Testing
/ testing and debugging
2011
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Semi-Proving: An Integrated Method for Program Proving, Testing, and Debugging
by
Zhi Quan Zhou
, Tse, T H
, Tsong Yueh Chen
in
Analysis
/ Australia Council
/ Automatic testing
/ Automation
/ Built-in self-test
/ Communications technology
/ Computer science
/ Costs
/ Debugging
/ Digital Object Identifier
/ Extrapolation
/ Failure
/ Fault tolerance
/ Metamorphic
/ Partial differential equations
/ Software debugging
/ Software engineering
/ Software testing
/ Software/program verification
/ Studies
/ symbolic execution
/ Testing
/ testing and debugging
2011
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Do you wish to request the book?
Semi-Proving: An Integrated Method for Program Proving, Testing, and Debugging
by
Zhi Quan Zhou
, Tse, T H
, Tsong Yueh Chen
in
Analysis
/ Australia Council
/ Automatic testing
/ Automation
/ Built-in self-test
/ Communications technology
/ Computer science
/ Costs
/ Debugging
/ Digital Object Identifier
/ Extrapolation
/ Failure
/ Fault tolerance
/ Metamorphic
/ Partial differential equations
/ Software debugging
/ Software engineering
/ Software testing
/ Software/program verification
/ Studies
/ symbolic execution
/ Testing
/ testing and debugging
2011
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Semi-Proving: An Integrated Method for Program Proving, Testing, and Debugging
Journal Article
Semi-Proving: An Integrated Method for Program Proving, Testing, and Debugging
2011
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Overview
We present an integrated method for program proving, testing, and debugging. Using the concept of metamorphic relations, we select necessary properties for target programs. For programs where global symbolic evaluation can be conducted and the constraint expressions involved can be solved, we can either prove that these necessary conditions for program correctness are satisfied or identify all inputs that violate the conditions. For other programs, our method can be converted into a symbolic-testing approach. Our method extrapolates from the correctness of a program for tested inputs to the correctness of the program for related untested inputs. The method supports automatic debugging through the identification of constraint expressions that reveal failures.
Publisher
IEEE,IEEE Computer Society
Subject
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