Software testing techniques (2nd ed.)
Software testing techniques (2nd ed.)
Design and validation of computer protocols
Design and validation of computer protocols
Cost-effective generation of minimal test sets for stuck-at faults in combinational logic circuits
DAC '93 Proceedings of the 30th international Design Automation Conference
The craft of software testing: subsystem testing including object-based and object-oriented testing
The craft of software testing: subsystem testing including object-based and object-oriented testing
DAC '96 Proceedings of the 33rd annual Design Automation Conference
RuleBase: an industry-oriented formal verification tool
DAC '96 Proceedings of the 33rd annual Design Automation Conference
Model checking
Symbolic Model Checking
Automatically Generating Test Data from a Boolean Specification
IEEE Transactions on Software Engineering
Protocol verification: the first ten years, the next ten years; some personal observations
Proceedings of the IFIP WG6.1 Tenth International Symposium on Protocol Specification, Testing and Verification X
A Methodology for Processor Implementation Verification
FMCAD '96 Proceedings of the First International Conference on Formal Methods in Computer-Aided Design
Coverage-Directed Test Generation Using Symbolic Techniques
FMCAD '96 Proceedings of the First International Conference on Formal Methods in Computer-Aided Design
Improvements in Coverability Analysis
FME '02 Proceedings of the International Symposium of Formal Methods Europe on Formal Methods - Getting IT Right
IFM'12 Proceedings of the 9th international conference on Integrated Formal Methods
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In simulation based verification of hardware, as well as in software testing, one is faced with the challenge of maximizing coverage of testing while minimizing testing cost. To this end, sophisticated techniques are used to generate clever test cases, and equally sophisticated techniques are employed by engineers to determine the quality - a.k.a. coverage - attained by the tests. The latter activity is called Test Coverage Analysis. While it is an essential component of the development process, test coverage can only be analyzed late in the design cycle when the tested entity and the test harness are both stable. To address this serious restriction, we introduce the notion of coverability, which intuitively refers to the degree to which a model can be covered when subjected to testing. We also showan implementation of coverability checking using Model Checking. The notion of coverability highlights a distinction between (1) whether a model has been covered by some test suite and (2) whether the model can ever be covered by any test suite. Coverability Analysis can be performed as soon as the hardware or software are written, before the test harness has been written.