Test-Case Generation for Concurrent Programs with the Testing Criteria Using Interaction Sequences
APSEC '99 Proceedings of the Sixth Asia Pacific Software Engineering Conference
Toward models for probabilistic program correctness
Proceedings of the software quality assurance workshop on Functional and performance issues
A Domain Coverage Metric for the Validation of Behavioral VHDL Descriptions
ITC '00 Proceedings of the 2000 IEEE International Test Conference
Testing Context-Sensitive Middleware-Based Software Applications
COMPSAC '04 Proceedings of the 28th Annual International Computer Software and Applications Conference - Volume 01
High-level test generation for hardware testing and software validation
HLDVT '03 Proceedings of the Eighth IEEE International Workshop on High-Level Design Validation and Test Workshop
Constraint based structural testing criteria
Journal of Systems and Software
Differential testing: a new approach to change detection
Proceedings of the the 6th joint meeting of the European software engineering conference and the ACM SIGSOFT symposium on The foundations of software engineering
Improving random test sets using the diversity oriented test data generation
Proceedings of the 2nd international workshop on Random testing: co-located with the 22nd IEEE/ACM International Conference on Automated Software Engineering (ASE 2007)
Differential testing: a new approach to change detection
The 6th Joint Meeting on European software engineering conference and the ACM SIGSOFT symposium on the foundations of software engineering: companion papers
Fourth international workshop on Software quality assurance: in conjunction with the 6th ESEC/FSE joint meeting
A tool-based approach for software testing and validation
AFIPS '84 Proceedings of the July 9-12, 1984, national computer conference and exposition
Guidance for test selection based on the cost of errors
AFIPS '84 Proceedings of the July 9-12, 1984, national computer conference and exposition
Tools and experiments supporting a testing-based theory of component composition
ACM Transactions on Software Engineering and Methodology (TOSEM)
A uniform random test data generator for path testing
Journal of Systems and Software
Dependable computing: concepts, limits, challenges
FTCS'95 Proceedings of the Twenty-Fifth international conference on Fault-tolerant computing
Programs, tests, and oracles: the foundations of testing revisited
Proceedings of the 33rd International Conference on Software Engineering
On model-based regression testing of web-services using dependency analysis of visual contracts
FASE'11/ETAPS'11 Proceedings of the 14th international conference on Fundamental approaches to software engineering: part of the joint European conferences on theory and practice of software
A theory of predicate-complete test coverage and generation
FMCO'04 Proceedings of the Third international conference on Formal Methods for Components and Objects
Generating model-based test cases from natural language requirements for space application software
Software Quality Control
Component testing is not enough: a study of software faults in telecom middleware
TestCom'07/FATES'07 Proceedings of the 19th IFIP TC6/WG6.1 international conference, and 7th international conference on Testing of Software and Communicating Systems
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A set of test data T for a program P is reliable if it reveals that P contains an error whenever P is incorrect. If a set of tests T is reliable and P produces the correct output for each element of T then P is a correct program. Test data generation strategies are procedures for generating sets of test data. A testing strategy is reliable for a program P if it produces a reliable set of test data for P. It is proved that an effective testing strategy which is reliable for all programs cannot be constructed. A description of the path analysis testing strategy is presented. In the path analysis strategy data are generated which cause different paths in a program to be executed. A method for analyzing the reliability of path testing is introduced. The method is used to characterize certain classes of programs and program errors for which the path analysis strategy is reliable. Examples of published incorrect programs are included.