Selecting Software Test Data Using Data Flow Information
IEEE Transactions on Software Engineering
Compilers: principles, techniques, and tools
Compilers: principles, techniques, and tools
An Applicable Family of Data Flow Testing Criteria
IEEE Transactions on Software Engineering
Interprocedual data flow testing
TAV3 Proceedings of the ACM SIGSOFT '89 third symposium on Software testing, analysis, and verification
Data flow-based test adequacy analysis for languages with pointers
TAV4 Proceedings of the symposium on Testing, analysis, and verification
Data flow coverage and the C language
TAV4 Proceedings of the symposium on Testing, analysis, and verification
A safe approximate algorithm for interprocedural aliasing
PLDI '92 Proceedings of the ACM SIGPLAN 1992 conference on Programming language design and implementation
ANTLR: a predicated-LL(k) parser generator
Software—Practice & Experience
Interprocedural Def-Use Associations for C Systems with Single Level Pointers
IEEE Transactions on Software Engineering
The use of data flow information for the selection and evaluation of software test data
The use of data flow information for the selection and evaluation of software test data
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This paper describes a new approach to performing data flow testing on programs that use pointer variables and a tool based on this approach. Our technique is based on the observation that, under certain reasonable assumptions, we can determine which dereferenced pointers are aliased whenever control reaches a given program point via a particular path. Furthermore, we can group together paths which behave similarly and represent them by regular expressions. The resulting test requirements demand that the test data execute representatives of particular sets of paths between variable definitions and uses.