Selecting Software Test Data Using Data Flow Information
IEEE Transactions on Software Engineering
The category-partition method for specifying and generating fuctional tests
Communications of the ACM
On the Relationship Between Partition and Random Testing
IEEE Transactions on Software Engineering
In black and white: an integrated approach to class-level testing of object-oriented programs
ACM Transactions on Software Engineering and Methodology (TOSEM)
Art of Software Testing
How To Make Intuitive Testing More Systematic
IEEE Software
White on Black: A White-Box-Oriented Approach for Selecting Black-Box-Generated Test Cases
APAQS '00 Proceedings of the The First Asia-Pacific Conference on Quality Software (APAQS'00)
A Choice Relation Framework for Supporting Category-Partition Test Case Generation
IEEE Transactions on Software Engineering
Generating, Selecting and Prioritizing Test Cases from Specifications with Tool Support
QSIC '03 Proceedings of the Third International Conference on Quality Software
Partition Analysis: A Method Combining Testing and Verification
IEEE Transactions on Software Engineering
| Hi-index | 0.00 |
Many systematic methods help to produce a comprehensive repository of test cases that contain no redundancy from the specification point of view. When the repository cannot be tested in its entirety owing to resource constraints, there is a need to select a smaller subset of test cases that are effective with respect to a given implementation. One way of doing so is to select only one from each pair of test cases that are judged to be processed similarly by the given implementation, as determined by partial dynamic analysis. This paper examines several path-based partial dynamic analysis methods for the selection of specification-based test cases, and evaluates their effectiveness by experiments.